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DLC (Differential Leukocyte Count) Study Guide

Normal vs. Abnormal Patterns


1. What Is the DLC?

The DLC quantifies the relative (%) and absolute (cells/µL) concentration of each leukocyte type in peripheral blood. It is part of the automated CBC and is reviewed by a skilled technologist when abnormal flags appear.
Key principle: Always use the absolute count (WBC total × cell %), not just the percentage, to determine a true abnormality. A raised % of one cell type can simply reflect a reduction in another.
Normal total WBC in adults: 4,000-7,000 cells/µL (broader reference: ~4,500-11,000/µL).

2. Normal DLC Reference Ranges (Adults)

Cell Type% of WBCAbsolute Count (×10³/µL)Notes
Neutrophils (segs + bands)50-70%1.8-7.0Bands normally <5%
Lymphocytes20-40%1.0-4.8Dominant in children <4 yrs
Monocytes2-10%0.2-1.0Largest circulating WBC
Eosinophils1-4%0.04-0.4Elevated in allergies/parasites
Basophils0-1%0.01-0.1Rarest; carrier of histamine
Reference ranges may vary slightly by laboratory, age, and sex.

3. NEUTROPHILS

Normal Morphology

  • Segmented (3-5 nuclear lobes), pale pink cytoplasm with fine pink-purple granules
  • Bands: horseshoe/U-shaped nucleus, normally <5%

Neutrophilia (Neutrophilic Leukocytosis)

Definition: Absolute neutrophils >7.0 ×10³/µL in adults
Mechanisms:
  • Demargination/pseudoneutrophilia - epinephrine, exercise, stress release cells from marginal granulocyte pool (MGP) to circulating pool; no increase in total granulocyte pool
  • Increased marrow output - cortisol/steroids, severe infections
  • Decreased egress from blood - corticosteroids block migration to tissues
Causes (Box 34.1 - Henry's):
CategoryExamples
InfectionsBacterial (most common), fungal, some viral
InflammationTrauma, surgery, burns, MI
DrugsCorticosteroids, G-CSF, lithium
PhysiologicExercise, stress, pregnancy, neonatal period
NeoplasticCML, myeloproliferative disorders
MetabolicUremia, diabetic ketoacidosis, gout
OtherAsplenia, hemorrhage, hemolysis
Exceptions to neutrophilia in bacterial infection: Tuberculosis, brucellosis, pertussis (lymphocyte-dominant), Listeria infections (monocyte-dominant).
Left Shift: Increased immature neutrophils (bands, metamyelocytes, myelocytes) released from marrow. Reactive left shift rarely includes promyelocytes or blasts. Accompanies severe infections.
Toxic Changes (seen in severe infection/inflammation):
ChangeDescription
Toxic granulationDark azurophilic (primary) granules; severe infections and toxic conditions
Döhle bodiesPale-blue oval cytoplasmic inclusions (ribosome remnants); infections and toxic states
Cytoplasmic vacuolesIndicate active phagocytosis

Neutropenia

Definition: Absolute neutrophils <1.8 ×10³/µL (adults); higher threshold in young children
Severity grading:
  • Mild: 1.0-1.8 ×10³/µL
  • Moderate: 0.5-1.0 ×10³/µL
  • Severe (agranulocytosis): <0.5 ×10³/µL - high infection risk
Key Causes:
CategoryExamples
Drugs (most common)Chemotherapy, chloramphenicol, sulfonamides, phenothiazines, antithyroids, anticonvulsants
RadiationDose-dependent marrow damage
ToxinsAlcohol, benzene
Immune-mediatedSLE, RA/Felty syndrome, AIDS
CongenitalKostmann syndrome, cyclic neutropenia (21-day cycling, ELA2 mutations), Chédiak-Higashi
HematologicMegaloblastic anemia, myelodysplasia, aplastic anemia, marrow infiltration
InfectiousOverwhelming bacterial infection; measles, rubella (viral-mediated suppression)
OtherStarvation, hypersplenism
Note: Toxic granulation, left shift, and Döhle bodies are seen with infection-related neutropenia but NOT in neutropenia of pregnancy-induced hypertension (PIH) - a useful distinguishing feature.

Morphological Anomalies of Neutrophils

AnomalyDescriptionSignificance
Pelger-HuëtBilobed/"pince-nez" nucleusInherited (benign) or acquired in MDS
Hypersegmentation≥5 lobes; ≥5% have ≥5 lobesMegaloblastic anemia (B12/folate deficiency)
Alder-ReillyProminent azurophilic granulationNot infection-related; mucopolysaccharidoses
May-HegglinDöhle-like inclusions + giant plateletsRare autosomal-dominant anomaly
Chédiak-HigashiGiant fused granules (lysosomes) in all leukocytesAutosomal-recessive; recurrent pyogenic infections, partial albinism

4. LYMPHOCYTES

Lymphocytosis

Definition: Absolute lymphocytes >4.8 ×10³/µL (adults); physiologically normal in children
Causes:
CategoryExamples
Acute viral infectionsEBV (mononucleosis), CMV, hepatitis, rubella, pertussis
Chronic infectionsTB, brucellosis, toxoplasmosis
AutoimmuneEarly RA, other autoimmune disorders
NeoplasticCLL (chronic lymphocytic leukemia), ALL, lymphomas
Reactive lymphocytes (atypical lymphocytes): Larger cells with abundant blue-gray cytoplasm and eccentric kidney-shaped nucleus. Classically seen in EBV infectious mononucleosis. Represent T-cell activation in response to viral antigens.

Lymphopenia (Lymphocytopenia)

Definition: Absolute lymphocytes <1.0 ×10³/µL
Causes:
CategoryExamples
ImmunodeficiencyHIV/AIDS, DiGeorge syndrome, SCID
Adrenocortical excessCushing's syndrome, high-dose corticosteroids
Cytotoxic therapyChemotherapy, radiation (lymphocytes are most radiosensitive)
Advanced malignancyLymphomas, carcinomas
OtherImpaired intestinal lymphatic drainage, anorexia nervosa

5. MONOCYTES

Monocytosis

Definition: Absolute monocytes >1.0 ×10³/µL
Causes:
CategoryExamples
InfectionsTuberculosis, brucellosis, subacute bacterial endocarditis, Listeria, protozoal
HematologicAcute monocytic leukemia (AML-M5), AML-M4, MDS
InflammatorySLE, IBD, sarcoidosis
Recovery phasePost-chemotherapy/radiation (monocytes recover before neutrophils)
GI disordersSprue, ulcerative colitis
Drug reactionsVarious
Special note: A monocytic response is the predominant WBC change in Listeria monocytogenes infection (especially in neonates).

Monocytopenia

Causes: Onset of steroid therapy; hairy cell leukemia (characteristic finding). Isolated monocytopenia is not usually considered pathologic.

6. EOSINOPHILS

Eosinophilia

Definition: Absolute eosinophils >0.4 ×10³/µL (>4% on differential)
Grading:
  • Mild: 0.4-1.5 ×10³/µL
  • Moderate: 1.5-5.0 ×10³/µL
  • Severe/Hypereosinophilia: >5.0 ×10³/µL
Causes:
CategoryExamples
AllergicAsthma, hay fever, urticaria, atopic dermatitis, angioedema
ParasiticTissue-invasive helminths (Ascaris, hookworm, Toxocara, Strongyloides)
NeoplasticCML, eosinophilic leukemia, Hodgkin lymphoma, solid tumor metastases
CutaneousEczema, psoriasis, pemphigus
PulmonaryLöffler syndrome, eosinophilic pneumonia
Drug reactionsNSAIDs, antibiotics
OtherAddison disease, post-irradiation, Lyme disease, rheumatic fever
In synovial fluid: Eosinophilia >2% of leukocyte count reported in Lyme disease, RA, rheumatic fever, metastatic carcinoma, allergic reactions to contrast dye.

Eosinopenia

Definition: Absolute eosinophils <0.04 ×10³/µL (often difficult to detect due to normally low counts)
Causes: Acute physical stress, acute inflammatory states, Cushing's syndrome, corticosteroid therapy.

7. BASOPHILS

Basophilia

Definition: Absolute basophils >0.1 ×10³/µL
Causes:
CategoryExamples
Hematologic (most specific)CML (very characteristic), polycythemia vera, myeloid metaplasia
Inflammatory/allergicHypersensitivity reactions, chronic sinusitis
EndocrineHypothyroidism
OtherChronic hemolytic anemia, splenectomy, ionizing radiation
Important clinical pearl: Persistent basophilia in combination with neutrophilia and eosinophilia strongly suggests CML (check for BCR-ABL fusion gene / Philadelphia chromosome).

Basopenia

Definition: Absolute basophils <0.01 ×10³/µL (difficult to detect given normally very low count)
Causes: Sustained glucocorticoid treatment, acute infection or stress, hyperthyroidism.

8. Quick Pattern Recognition Table

PatternFirst Diagnosis to Suspect
Neutrophilia + left shift + toxic changesBacterial infection / sepsis
Neutrophilia alone (no toxic changes)Physiologic stress, corticosteroids
Neutropenia + no toxic changesDrug effect, PIH, immune-mediated
Lymphocytosis + atypical lymphocytesEBV infectious mononucleosis
Lymphocytosis + mature small lymphocytesCLL
Eosinophilia (mild-moderate)Allergy, atopic disease
Eosinophilia (marked)Tissue-invasive parasites
BasophiliaCML (until proven otherwise)
MonocytosisTB, chronic infection, AML-M5
LymphopeniaHIV/AIDS, corticosteroids, radiation
PancytopeniaAplastic anemia, marrow infiltration, megaloblastic anemia
Neutrophilia + basophilia + eosinophiliaCML (leukemoid reaction if no BCR-ABL)

9. DLC Patterns in Specific Diseases

DiseaseClassic DLC Pattern
Bacterial sepsisNeutrophilia, left shift, toxic granulation, Döhle bodies
Viral infection (EBV)Lymphocytosis with atypical (reactive) lymphocytes
CMLNeutrophilia, basophilia, eosinophilia; all myeloid stages present; BCR-ABL+
CLLLymphocytosis of mature-looking small lymphocytes
PertussisLymphocytosis (not neutrophilia, unusually for bacterial cause)
TuberculosisLymphocytosis or monocytosis; neutropenia possible
Parasitic infectionEosinophilia (tissue-invasive species especially)
Allergic reactionEosinophilia ± basophilia
HIV/AIDSLymphopenia (especially CD4+ T cells), neutropenia
Felty syndromeNeutropenia + RA + splenomegaly
B12/folate deficiencyHypersegmented neutrophils, pancytopenia
Addison's diseaseEosinophilia, lymphocytosis, neutropenia
Cushing's syndromeNeutrophilia, lymphopenia, eosinopenia

10. Key Formulas

  • Absolute count = Total WBC × (% of cell type / 100)
  • Leukocyte count correction for nRBCs = WBC × 100 / (100 + number of nRBCs per 100 WBCs)

Sources

  • Henry's Clinical Diagnosis and Management by Laboratory Methods (23rd ed.), Chapters 12, 14
  • Textbook of Family Medicine (9th ed.), Chapter 14
  • Goldman-Cecil Medicine (International Edition), Chapter 143
  • Quick Compendium of Clinical Pathology (5th ed.)
  • Tietz Textbook of Laboratory Medicine (7th ed.)

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// ─── SECTION 1: Introduction ──────────────────────────────────────────────────
children.push(h1("1. What Is the DLC?"));
children.push(para("The Differential Leukocyte Count (DLC) quantifies the relative (%) and absolute (cells/µL) concentration of each leukocyte type in peripheral blood. It is performed as part of the automated CBC and reviewed by a skilled technologist when abnormal flags appear."));
children.push(note("Always use the absolute count (WBC total × cell %), not just the percentage, to determine a true abnormality. A raised % of one cell type can simply reflect a reduction in another."));
children.push(para("Normal total WBC in adults: 4,000–7,000 cells/µL (broad reference: ~4,500–11,000/µL). Approximately two-thirds are neutrophils and just under one-third are lymphocytes."));

// ─── SECTION 2: Normal Reference Ranges ──────────────────────────────────────
children.push(h1("2. Normal DLC Reference Ranges (Adults)"));
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    ["Neutrophils (segs + bands)", "50–70%", "1.8–7.0", "Bands normally <5%"],
    ["Lymphocytes", "20–40%", "1.0–4.8", "Dominant cell type in children <4 yrs"],
    ["Monocytes", "2–10%", "0.2–1.0", "Largest circulating WBC"],
    ["Eosinophils", "1–4%", "0.04–0.4", "Elevated in allergies/parasites"],
    ["Basophils", "0–1%", "0.01–0.1", "Rarest; carrier of histamine"],
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children.push(para("Reference ranges may vary slightly by laboratory, age, and sex.", { color: "666666", italics: true, size: 18 }));

// ─── SECTION 3: NEUTROPHILS ───────────────────────────────────────────────────
children.push(h1("3. Neutrophils"));

children.push(h2("Normal Morphology"));
children.push(bullet("Segmented nucleus with 3–5 lobes, pale pink cytoplasm with fine pink-purple granules"));
children.push(bullet("Bands: horseshoe/U-shaped unsegmented nucleus, normally <5% of differential"));

children.push(h2("Neutrophilia (Neutrophilic Leukocytosis)"));
children.push(para("Definition: Absolute neutrophils >7.0 ×10³/µL in adults."));

children.push(h3("Mechanisms"));
children.push(bullet("Demargination/pseudoneutrophilia", "Epinephrine, exercise, stress"));
children.push(bullet("Increased marrow output", "Cortisol/steroids, severe infection"));
children.push(bullet("Decreased egress from blood", "Corticosteroids block tissue migration"));

children.push(spacer(80));
children.push(h3("Causes of Neutrophilia"));
children.push(makeTable(
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    ["Infections", "Bacterial (most common), fungal, some viral"],
    ["Inflammation", "Trauma, surgery, burns, myocardial infarction"],
    ["Drugs", "Corticosteroids, G-CSF, lithium"],
    ["Physiologic", "Exercise, stress, pregnancy, neonatal period"],
    ["Neoplastic", "CML, myeloproliferative disorders"],
    ["Metabolic", "Uremia, diabetic ketoacidosis, gout"],
    ["Other", "Asplenia, acute hemorrhage, hemolysis"],
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  BLUE_HEADER
));
children.push(note("Exceptions to neutrophilia in bacterial infection: Tuberculosis, brucellosis, pertussis (lymphocyte-dominant), Listeria (monocyte-dominant)."));

children.push(h3("Left Shift"));
children.push(para("Increased immature neutrophils (bands, metamyelocytes, myelocytes) released from marrow. Reactive left shift rarely includes promyelocytes or blasts. Accompanies severe infections and sepsis."));

children.push(h3("Toxic Changes in Neutrophils"));
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    ["Toxic granulation", "Dark azurophilic (primary) granules in cytoplasm", "Severe infections, toxic conditions, reactive states"],
    ["Döhle bodies", "Pale-blue oval cytoplasmic inclusions (ribosome remnants)", "Infections and other toxic conditions"],
    ["Cytoplasmic vacuoles", "Empty vacuoles in cytoplasm", "Active phagocytosis; infection"],
  ],
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children.push(h2("Neutropenia"));
children.push(para("Definition: Absolute neutrophils <1.8 ×10³/µL (adults)."));
children.push(h3("Severity Grading"));
children.push(bullet("Mild: 1.0–1.8 ×10³/µL"));
children.push(bullet("Moderate: 0.5–1.0 ×10³/µL"));
children.push(bullet("Severe (agranulocytosis): <0.5 ×10³/µL — high risk of life-threatening infection"));

children.push(spacer(80));
children.push(h3("Key Causes of Neutropenia"));
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    ["Drugs (most common)", "Chemotherapy, chloramphenicol, sulfonamides, phenothiazines, antithyroids, anticonvulsants"],
    ["Radiation", "Dose-dependent marrow damage"],
    ["Toxins", "Alcohol, benzene compounds"],
    ["Immune-mediated", "SLE, RA/Felty syndrome, AIDS"],
    ["Congenital", "Kostmann syndrome, cyclic neutropenia (ELA2 mutations, ~21-day cycle), Chédiak-Higashi"],
    ["Hematologic", "Megaloblastic anemia, myelodysplasia, aplastic anemia, marrow infiltration"],
    ["Infectious", "Overwhelming bacterial infection; viral-mediated suppression (measles, rubella)"],
    ["Other", "Starvation, hypersplenism"],
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  RED_HDR
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children.push(note("Toxic granulation, left shift, and Döhle bodies are seen with infection-related neutropenia but NOT in neutropenia of pregnancy-induced hypertension (PIH) — a useful distinguishing point."));

children.push(h2("Morphological Anomalies of Neutrophils"));
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  ["Anomaly", "Description", "Significance"],
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    ["Pelger-Huët", "Bilobed / 'pince-nez' nucleus", "Inherited (benign) or acquired in MDS"],
    ["Hypersegmentation", "≥5 lobes; ≥5% of neutrophils have ≥5 lobes", "Megaloblastic anemia (B12/folate deficiency)"],
    ["Alder-Reilly", "Prominent azurophilic granulation (not infection-related)", "Mucopolysaccharidoses"],
    ["May-Hegglin", "Döhle-like inclusions + giant platelets", "Rare autosomal-dominant anomaly"],
    ["Chédiak-Higashi", "Giant fused granules (abnormal lysosomes) in all leukocytes", "Autosomal-recessive; recurrent pyogenic infections, partial oculocutaneous albinism"],
  ],
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// ─── SECTION 4: LYMPHOCYTES ───────────────────────────────────────────────────
children.push(h1("4. Lymphocytes"));

children.push(h2("Lymphocytosis"));
children.push(para("Definition: Absolute lymphocytes >4.8 ×10³/µL (adults). Physiologically normal in children."));
children.push(makeTable(
  ["Category", "Examples"],
  [
    ["Acute viral infections (most common)", "EBV (mononucleosis), CMV, hepatitis, rubella, pertussis"],
    ["Chronic infections", "Tuberculosis, brucellosis, toxoplasmosis"],
    ["Autoimmune", "Early RA and other autoimmune disorders"],
    ["Neoplastic", "CLL, ALL, lymphomas"],
  ],
  BLUE_HEADER
));
children.push(note("Reactive (atypical) lymphocytes: Larger cells with abundant blue-gray cytoplasm and eccentric kidney-shaped nucleus. Classically seen in EBV mononucleosis — represent T-cell activation."));

children.push(h2("Lymphopenia (Lymphocytopenia)"));
children.push(para("Definition: Absolute lymphocytes <1.0 ×10³/µL."));
children.push(makeTable(
  ["Category", "Examples"],
  [
    ["Immunodeficiency", "HIV/AIDS, DiGeorge syndrome, SCID"],
    ["Adrenocortical excess", "Cushing's syndrome, high-dose corticosteroids"],
    ["Cytotoxic therapy", "Chemotherapy, radiation (lymphocytes are most radiosensitive WBCs)"],
    ["Advanced malignancy", "Lymphomas, advanced carcinomas"],
    ["Other", "Impaired intestinal lymphatic drainage, anorexia nervosa"],
  ],
  RED_HDR
));

// ─── SECTION 5: MONOCYTES ─────────────────────────────────────────────────────
children.push(h1("5. Monocytes"));

children.push(h2("Monocytosis"));
children.push(para("Definition: Absolute monocytes >1.0 ×10³/µL."));
children.push(makeTable(
  ["Category", "Examples"],
  [
    ["Infections", "TB, brucellosis, subacute bacterial endocarditis, Listeria, protozoal infections"],
    ["Hematologic malignancy", "AML-M5 (acute monocytic leukemia), AML-M4, MDS"],
    ["Inflammatory / autoimmune", "SLE, IBD, sarcoidosis"],
    ["Recovery phase", "Post-chemotherapy or radiation (monocytes recover before neutrophils)"],
    ["GI disorders", "Sprue, ulcerative colitis"],
    ["Drug reactions", "Various drugs"],
  ],
  BLUE_HEADER
));
children.push(note("Listeria monocytogenes infection produces a predominantly monocytic WBC response (especially in neonates)."));

children.push(h2("Monocytopenia"));
children.push(para("Causes: Onset of steroid therapy; hairy cell leukemia (characteristic finding). Isolated monocytopenia is not usually considered pathologic."));

// ─── SECTION 6: EOSINOPHILS ──────────────────────────────────────────────────
children.push(h1("6. Eosinophils"));

children.push(h2("Eosinophilia"));
children.push(para("Definition: Absolute eosinophils >0.4 ×10³/µL (>4% on differential)."));
children.push(h3("Severity Grading"));
children.push(bullet("Mild: 0.4–1.5 ×10³/µL"));
children.push(bullet("Moderate: 1.5–5.0 ×10³/µL"));
children.push(bullet("Severe / Hypereosinophilia: >5.0 ×10³/µL — risk of end-organ damage"));

children.push(spacer(80));
children.push(makeTable(
  ["Category", "Examples"],
  [
    ["Allergic (most common in developed countries)", "Asthma, hay fever, urticaria, atopic dermatitis, angioedema"],
    ["Parasitic (most common globally)", "Tissue-invasive helminths (Ascaris, hookworm, Toxocara, Strongyloides)"],
    ["Neoplastic", "CML, eosinophilic leukemia, Hodgkin lymphoma, solid tumor metastases"],
    ["Cutaneous", "Eczema, psoriasis, pemphigus"],
    ["Pulmonary", "Löffler syndrome, eosinophilic pneumonia"],
    ["Drug reactions", "NSAIDs, antibiotics"],
    ["Other", "Addison disease, Lyme disease, rheumatic fever, post-irradiation"],
  ],
  BLUE_HEADER
));
children.push(note("In synovial fluid: eosinophilia >2% reported in Lyme disease, RA, rheumatic fever, metastatic carcinoma, and allergic reactions to contrast dye."));

children.push(h2("Eosinopenia"));
children.push(para("Causes: Acute physical stress, acute inflammatory states, Cushing's syndrome, corticosteroid therapy. Often difficult to detect given the normally very low baseline count."));

// ─── SECTION 7: BASOPHILS ────────────────────────────────────────────────────
children.push(h1("7. Basophils"));

children.push(h2("Basophilia"));
children.push(para("Definition: Absolute basophils >0.1 ×10³/µL."));
children.push(makeTable(
  ["Category", "Examples"],
  [
    ["Hematologic (most specific)", "CML (very characteristic), polycythemia vera, myeloid metaplasia"],
    ["Inflammatory / allergic", "Hypersensitivity reactions, chronic sinusitis"],
    ["Endocrine", "Hypothyroidism"],
    ["Other", "Chronic hemolytic anemia, splenectomy, ionizing radiation"],
  ],
  BLUE_HEADER
));
children.push(note("Persistent basophilia combined with neutrophilia and eosinophilia strongly suggests CML — check for BCR-ABL fusion gene / Philadelphia chromosome."));

children.push(h2("Basopenia"));
children.push(para("Causes: Sustained glucocorticoid treatment, acute infection or stress, hyperthyroidism. Difficult to detect given normally very low baseline count."));

// ─── SECTION 8: Quick Pattern Recognition ─────────────────────────────────────
children.push(h1("8. Quick Pattern Recognition"));
children.push(makeTable(
  ["DLC Pattern", "First Diagnosis to Suspect"],
  [
    ["Neutrophilia + left shift + toxic changes", "Bacterial infection / sepsis"],
    ["Neutrophilia alone (no toxic changes)", "Physiologic stress, corticosteroids"],
    ["Neutropenia + no toxic changes", "Drug effect, pregnancy-induced hypertension, immune-mediated"],
    ["Lymphocytosis + atypical lymphocytes", "EBV infectious mononucleosis"],
    ["Lymphocytosis + mature small lymphocytes", "CLL (chronic lymphocytic leukemia)"],
    ["Eosinophilia mild-moderate", "Allergy, atopic disease"],
    ["Eosinophilia marked", "Tissue-invasive parasites"],
    ["Basophilia", "CML (until proven otherwise)"],
    ["Monocytosis", "TB, chronic infection, AML-M5"],
    ["Lymphopenia", "HIV/AIDS, corticosteroids, radiation"],
    ["Pancytopenia", "Aplastic anemia, marrow infiltration, megaloblastic anemia"],
    ["Neutrophilia + basophilia + eosinophilia", "CML (leukemoid reaction if BCR-ABL negative)"],
  ],
  GREEN_HDR
));

// ─── SECTION 9: DLC in Specific Diseases ─────────────────────────────────────
children.push(h1("9. DLC Patterns in Specific Diseases"));
children.push(makeTable(
  ["Disease", "Classic DLC Pattern"],
  [
    ["Bacterial sepsis", "Neutrophilia, left shift, toxic granulation, Döhle bodies, vacuoles"],
    ["Viral infection (EBV/mono)", "Lymphocytosis with atypical (reactive) lymphocytes"],
    ["CML", "Neutrophilia + basophilia + eosinophilia; all myeloid stages; BCR-ABL positive"],
    ["CLL", "Lymphocytosis of mature-looking small lymphocytes; smear cells on film"],
    ["Pertussis (whooping cough)", "Lymphocytosis (unusually, for a bacterial infection)"],
    ["Tuberculosis", "Lymphocytosis or monocytosis; neutropenia possible"],
    ["Parasitic infection", "Eosinophilia (especially tissue-invasive helminths)"],
    ["Allergic reaction", "Eosinophilia ± basophilia"],
    ["HIV/AIDS", "Lymphopenia (CD4+ T-cell depletion), neutropenia"],
    ["Felty syndrome", "Neutropenia + RA + splenomegaly"],
    ["B12/folate deficiency", "Hypersegmented neutrophils, pancytopenia; macrocytic anemia"],
    ["Addison's disease", "Eosinophilia, lymphocytosis, neutropenia"],
    ["Cushing's syndrome", "Neutrophilia, lymphopenia, eosinopenia"],
    ["Listeria infection (neonates)", "Monocytosis (predominant response)"],
  ],
  YELLOW_HDR
));

// ─── SECTION 10: Key Formulas ─────────────────────────────────────────────────
children.push(h1("10. Key Formulas"));
children.push(makeTable(
  ["Formula", "Expression"],
  [
    ["Absolute cell count", "Total WBC × (% of cell type / 100)"],
    ["Corrected WBC (for nRBCs)", "WBC × 100 ÷ (100 + number of nRBCs per 100 WBCs)"],
  ],
  BLUE_HEADER
));

// ─── Footer ───────────────────────────────────────────────────────────────────
children.push(spacer(200));
children.push(new Paragraph({
  border: { top: { style: BorderStyle.SINGLE, size: 6, color: BLUE_MID } },
  spacing: { before: 120 },
}));
children.push(new Paragraph({
  children: [new TextRun({ text: "Sources: Henry's Clinical Diagnosis and Management by Laboratory Methods (23e) | Goldman-Cecil Medicine | Textbook of Family Medicine (9e) | Tietz Textbook of Laboratory Medicine (7e) | Quick Compendium of Clinical Pathology (5e)", size: 16, color: "666666", italics: true })],
  alignment: AlignmentType.CENTER,
  spacing: { after: 40 },
}));
children.push(new Paragraph({
  children: [new TextRun({ text: "Generated by Orris Medical AI — For educational use only. Always verify clinical decisions against current guidelines.", size: 16, color: "888888", italics: true })],
  alignment: AlignmentType.CENTER,
}));

// ─── Build Document ───────────────────────────────────────────────────────────
const doc = new Document({
  creator: "Orris Medical AI",
  title: "DLC Study Guide",
  description: "Differential Leukocyte Count: Normal vs. Abnormal Patterns",
  styles: {
    default: {
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        run: { font: "Calibri", size: 20, color: "222222" },
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        run: { bold: true, size: 28, color: WHITE, font: "Calibri" },
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          spacing: { before: 360, after: 120 },
          shading: { type: ShadingType.SOLID, color: BLUE_DARK },
          indent: { left: 160, right: 160 },
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        name: "Heading 2",
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        run: { bold: true, size: 24, color: BLUE_DARK, font: "Calibri" },
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          border: { bottom: { style: BorderStyle.SINGLE, size: 6, color: BLUE_MID } },
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        run: { bold: true, size: 22, color: BLUE_MID, font: "Calibri" },
        paragraph: { spacing: { before: 160, after: 60 } },
      },
    ],
  },
  sections: [{
    properties: {
      page: {
        margin: { top: 720, bottom: 720, left: 900, right: 900 },
      },
    },
    headers: {
      default: new Header({
        children: [new Paragraph({
          children: [
            new TextRun({ text: "DLC Study Guide | Differential Leukocyte Count: Normal vs. Abnormal Patterns", size: 16, color: "888888" }),
          ],
          alignment: AlignmentType.CENTER,
          border: { bottom: { style: BorderStyle.SINGLE, size: 4, color: "CCCCCC" } },
        })],
      }),
    },
    footers: {
      default: new Footer({
        children: [new Paragraph({
          children: [
            new TextRun({ text: "For educational use only  |  Page ", size: 16, color: "888888" }),
            new TextRun({ children: [PageNumber.CURRENT], size: 16, color: "888888" }),
            new TextRun({ text: " of ", size: 16, color: "888888" }),
            new TextRun({ children: [PageNumber.TOTAL_PAGES], size: 16, color: "888888" }),
          ],
          alignment: AlignmentType.CENTER,
        })],
      }),
    },
    children,
  }],
});

Packer.toBuffer(doc).then(buffer => {
  fs.writeFileSync("/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.docx", buffer);
  console.log("Done: DLC_Study_Guide.docx");
});
Running Command

cd /home/daytona/workspace/dlc-study-guide && node generate.js 2>&1

Running Command

python3 /home/daytona/skills/docx/scripts/office/validate.py /home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.docx 2>&1

Running Command

# Validate manually by checking the docx is a valid zip and has required XML files python3 -c " import zipfile, sys path = '/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.docx' try: z = zipfile.ZipFile(path) names = z.namelist() required = ['word/document.xml', 'word/_rels/document.xml.rels', '[Content_Types].xml'] for r in required: print('OK' if r in names else 'MISSING: ' + r, r) print('File size:', __import__('os').path.getsize(path), 'bytes') print('All entries:', len(names)) except Exception as e: print('ERROR:', e) "

Running Command

python3 /home/daytona/skills/docx/scripts/office/soffice.py --headless --convert-to pdf /home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.docx --outdir /home/daytona/workspace/dlc-study-guide/ 2>&1

Running Command

cp /home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.docx /tmp/DLC_Study_Guide.docx && python3 /home/daytona/skills/docx/scripts/office/soffice.py --headless --convert-to pdf /tmp/DLC_Study_Guide.docx --outdir /tmp/ 2>&1 && cp /tmp/DLC_Study_Guide.pdf /home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.pdf && echo "PDF ready"

Running Command

ls -lh /home/daytona/workspace/dlc-study-guide/

Both files are ready. Here are your downloads:

Your DLC Study Guide is ready in two formats:
  • DLC Study Guide

    Word Document · DOCX

    (19 KB) - Editable Word document
  • DLC Study Guide

    PDF Document · PDF

    (194 KB) - Print-ready PDF

What's included in both files:
  • Color-coded section headers (dark blue titles, mid-blue subheadings)
  • All 10 sections from the study guide with formatted tables for every cell type
  • Color-coded tables: blue for causes, red for depletion causes, green for quick patterns, yellow for disease-specific patterns
  • Alternating row shading for easy reading
  • Running header on every page and page number footer
  • A final summary sources section
The PDF is best for printing or sharing as-is. The DOCX is best if you want to annotate, modify, or add your own notes.

Also convert it itni ppt

Reading File
Reading File
Writing File

~/dlc-study-guide/generate_pptx.js

const pptxgen = require("pptxgenjs");
const pres = new pptxgen();
pres.layout = "LAYOUT_16x9";
pres.author = "Orris Medical AI";
pres.title = "DLC Study Guide";

// ── Palette ──────────────────────────────────────────────────────────────────
const C = {
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  amber:      "B8860B",
  amberLight: "FFEB9C",
  white:      "FFFFFF",
  offwhite:   "F8FAFC",
  grey:       "7F7F7F",
  darkgrey:   "333333",
};

// ── Slide helpers ─────────────────────────────────────────────────────────────

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// ════════════════════════════════════════════════════════════════════════════
// SLIDE 1 — Title
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.navy);
  addRect(s, 0, 3.9, 10, 1.7, C.blue);
  addRect(s, 0, 3.85, 10, 0.08, C.teal);

  s.addText("DLC Study Guide", {
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    fontSize: 52, bold: true, color: C.white,
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    align: "center", valign: "middle", italic: true,
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}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 2 — What Is the DLC?
// ════════════════════════════════════════════════════════════════════════════
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  section_header(s, "What Is the DLC?");

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    { text: "relative (%) and absolute (cells/µL)", options: { bold: true, color: C.blue } },
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      ["Neutrophils (segs + bands)", "50–70%", "1.8–7.0", "Bands <5%; dominant in adults"],
      ["Lymphocytes",                "20–40%", "1.0–4.8", "Dominant in children <4 yrs"],
      ["Monocytes",                  "2–10%",  "0.2–1.0", "Largest circulating WBC"],
      ["Eosinophils",                "1–4%",   "0.04–0.4","Elevated in allergies / parasites"],
      ["Basophils",                  "0–1%",   "0.01–0.1","Rarest; carrier of histamine"],
    ],
    0.45, 2.55, 9.1, 2.75, C.navy
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 3 — Neutrophils: Normal & Neutrophilia
// ════════════════════════════════════════════════════════════════════════════
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    { text: "• Increased marrow output", options: { bold: true } }, { text: " (infection, steroids)\n", options: {} },
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      ["Drugs",       "Corticosteroids, G-CSF, lithium"],
      ["Physiologic", "Exercise, stress, pregnancy, neonatal period"],
      ["Neoplastic",  "CML, myeloproliferative disorders"],
      ["Metabolic",   "Uremia, DKA, gout"],
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// ════════════════════════════════════════════════════════════════════════════
// SLIDE 4 — Left Shift + Toxic Changes
// ════════════════════════════════════════════════════════════════════════════
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  section_header(s, "Neutrophils — Left Shift & Toxic Changes");

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  addTable(s,
    ["Change", "Description"],
    [
      ["Toxic granulation", "Dark azurophilic (primary) granules — severe infection/toxic states"],
      ["Döhle bodies",      "Pale-blue oval cytoplasmic inclusions (ribosome remnants) — infection"],
      ["Cytoplasmic vacuoles","Empty vacuoles — active phagocytosis"],
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    ["Anomaly", "Description", "Significance"],
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      ["Pelger-Huët",      "Bilobed / pince-nez nucleus",               "Inherited (benign) or acquired in MDS"],
      ["Hypersegmentation","≥5 nuclear lobes in ≥5% of neutrophils",    "Megaloblastic anemia (B12/folate deficiency)"],
      ["Alder-Reilly",     "Prominent azurophilic granulation",          "Mucopolysaccharidoses; NOT infection"],
      ["May-Hegglin",      "Döhle-like inclusions + giant platelets",    "Rare autosomal-dominant anomaly"],
      ["Chédiak-Higashi",  "Giant fused lysosomes in all leukocytes",    "AR disorder; recurrent pyogenic infections, partial albinism"],
    ],
    0.45, 2.55, 9.1, 2.7, C.amber
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// ════════════════════════════════════════════════════════════════════════════
// SLIDE 5 — Neutropenia
// ════════════════════════════════════════════════════════════════════════════
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  section_header(s, "Neutropenia");
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    { label: "Moderate", range: "0.5–1.0 ×10³/µL", color: C.redLight, txt: C.red },
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  grades.forEach((g, i) => {
    addRect(s, 0.45, 1.32 + i * 0.34, 2.8, 0.3, g.color);
    s.addText(`${g.label}: ${g.range}`, {
      x: 0.55, y: 1.32 + i * 0.34, w: 2.65, h: 0.3,
      fontSize: 10.5, color: g.txt, fontFace: "Calibri",
      bold: g.label === "Severe / Agranulocytosis", valign: "middle", margin: 0,
    });
  });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Drugs (most common)", "Chemo, chloramphenicol, sulfonamides, phenothiazines, antithyroids, anticonvulsants"],
      ["Radiation",           "Dose-dependent marrow damage; lymphocytes most sensitive"],
      ["Toxins",              "Alcohol, benzene compounds"],
      ["Immune-mediated",     "SLE, RA / Felty syndrome, AIDS"],
      ["Congenital",          "Kostmann, cyclic neutropenia (ELA2 mutations, ~21-day cycle), Chédiak-Higashi"],
      ["Hematologic",         "Megaloblastic anemia, MDS, aplastic anemia, marrow infiltration"],
      ["Infectious",          "Overwhelming bacterial infection; measles, rubella (viral suppression)"],
      ["Other",               "Starvation, hypersplenism"],
    ],
    3.35, 1.0, 6.2, 3.3, C.red
  );

  noteBox(s, "Toxic granulation, left shift, and Döhle bodies are seen with infection-related neutropenia — but NOT in PIH (pregnancy-induced hypertension) neutropenia. Useful distinguishing point.", 0.45, 4.52, 9.1, C.red);
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 6 — Lymphocytes
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "Lymphocytes");
  badge(s, "LYMPHOCYTES", 7.8, 0.25, C.teal);

  // Lymphocytosis
  addRect(s, 0.45, 1.0, 4.55, 0.3, C.teal);
  s.addText("Lymphocytosis  >4.8 ×10³/µL", { x: 0.5, y: 1.0, w: 4.45, h: 0.3, fontSize: 13, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Acute viral (most common)", "EBV (mono), CMV, hepatitis, rubella, pertussis"],
      ["Chronic infections",        "TB, brucellosis, toxoplasmosis"],
      ["Autoimmune",                "Early RA, other autoimmune disorders"],
      ["Neoplastic",                "CLL, ALL, lymphomas"],
    ],
    0.45, 1.34, 4.55, 2.0, C.teal
  );

  noteBox(s, "Reactive (atypical) lymphocytes: Large, blue-gray cytoplasm, eccentric kidney-shaped nucleus — classically seen in EBV mononucleosis (T-cell activation).", 0.45, 3.45, 4.55, C.teal);

  // Lymphopenia
  addRect(s, 5.1, 1.0, 4.45, 0.3, C.red);
  s.addText("Lymphopenia  <1.0 ×10³/µL", { x: 5.15, y: 1.0, w: 4.35, h: 0.3, fontSize: 13, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Immunodeficiency",     "HIV/AIDS, DiGeorge syndrome, SCID"],
      ["Adrenocortical excess","Cushing's syndrome, high-dose corticosteroids"],
      ["Cytotoxic therapy",   "Chemo, radiation (lymphocytes most radiosensitive)"],
      ["Advanced malignancy", "Lymphomas, advanced carcinomas"],
      ["Other",               "Impaired intestinal lymphatics, anorexia nervosa"],
    ],
    5.1, 1.34, 4.45, 2.0, C.red
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 7 — Monocytes & Eosinophils
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "Monocytes & Eosinophils");

  // Monocytes left
  addRect(s, 0.45, 1.0, 4.55, 0.3, C.navy);
  s.addText("Monocytosis  >1.0 ×10³/µL", { x: 0.5, y: 1.0, w: 4.45, h: 0.3, fontSize: 12, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Infections",       "TB, brucellosis, SBE, Listeria, protozoal"],
      ["Hematologic",      "AML-M5, AML-M4, MDS"],
      ["Inflammatory",     "SLE, IBD, sarcoidosis"],
      ["Recovery phase",   "Post-chemo/radiation (monocytes recover before neutrophils)"],
      ["Other",            "Sprue, ulcerative colitis, drug reactions"],
    ],
    0.45, 1.34, 4.55, 1.9, C.navy
  );

  addRect(s, 0.45, 3.3, 4.55, 0.28, C.grey);
  s.addText("Monocytopenia", { x: 0.5, y: 3.3, w: 4.45, h: 0.28, fontSize: 11, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });
  s.addText("Steroid therapy (onset); hairy cell leukemia (characteristic). Isolated monocytopenia not usually pathologic.", {
    x: 0.5, y: 3.62, w: 4.45, h: 0.4, fontSize: 11, fontFace: "Calibri", color: C.darkgrey, valign: "top", margin: 0,
  });
  noteBox(s, "Listeria infection → monocytic response (especially in neonates).", 0.45, 4.1, 4.55, C.navy);

  // Eosinophils right
  addRect(s, 5.1, 1.0, 4.45, 0.3, C.green);
  s.addText("Eosinophilia  >0.4 ×10³/µL", { x: 5.15, y: 1.0, w: 4.35, h: 0.3, fontSize: 12, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  // Severity
  const eGrades = [
    ["Mild",   "0.4–1.5 ×10³/µL", C.greenLight, C.green],
    ["Moderate","1.5–5.0 ×10³/µL", C.green,     C.white],
    ["Severe","  >5.0 ×10³/µL",    C.navy,      C.white],
  ];
  eGrades.forEach(([label, range, bg, tc], i) => {
    addRect(s, 5.1, 1.34 + i * 0.28, 4.45, 0.26, bg);
    s.addText(`${label}: ${range}`, { x: 5.18, y: 1.34 + i * 0.28, w: 4.3, h: 0.26, fontSize: 10, color: tc, fontFace: "Calibri", bold: true, valign: "middle", margin: 0 });
  });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Allergic",   "Asthma, hay fever, urticaria, atopic dermatitis"],
      ["Parasitic",  "Tissue-invasive helminths (Ascaris, hookworm, Toxocara)"],
      ["Neoplastic", "CML, eosinophilic leukemia, Hodgkin lymphoma"],
      ["Other",      "Addison disease, Löffler syndrome, drug reactions"],
    ],
    5.1, 2.2, 4.45, 1.8, C.green
  );

  addRect(s, 5.1, 4.08, 4.45, 0.28, C.grey);
  s.addText("Eosinopenia: Acute stress, Cushing's, corticosteroids", { x: 5.15, y: 4.08, w: 4.35, h: 0.28, fontSize: 10, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 8 — Basophils
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "Basophils");
  badge(s, "BASOPHILS", 8.2, 0.25, C.amber);

  addRect(s, 0.45, 1.0, 9.1, 0.3, C.amber);
  s.addText("Basophilia  >0.1 ×10³/µL", { x: 0.5, y: 1.0, w: 9.0, h: 0.3, fontSize: 14, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  addTable(s,
    ["Category", "Examples"],
    [
      ["Hematologic (most specific)", "CML (very characteristic), polycythemia vera, myeloid metaplasia"],
      ["Inflammatory / allergic",     "Hypersensitivity reactions, chronic sinusitis"],
      ["Endocrine",                   "Hypothyroidism"],
      ["Other",                       "Chronic hemolytic anemia, splenectomy, ionizing radiation"],
    ],
    0.45, 1.34, 9.1, 1.8, C.amber
  );

  noteBox(s, "Persistent basophilia + neutrophilia + eosinophilia = strongly suspect CML. Check for BCR-ABL fusion gene / Philadelphia chromosome.", 0.45, 3.2, 9.1, C.amber);

  addRect(s, 0.45, 3.7, 9.1, 0.3, C.grey);
  s.addText("Basopenia: Sustained glucocorticoids | Acute infection or stress | Hyperthyroidism", {
    x: 0.5, y: 3.7, w: 9.0, h: 0.3, fontSize: 12, bold: true, color: C.white,
    fontFace: "Calibri", valign: "middle", margin: 0,
  });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 9 — Quick Pattern Recognition
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "Quick Pattern Recognition");

  addTable(s,
    ["DLC Pattern", "First Diagnosis to Suspect"],
    [
      ["Neutrophilia + left shift + toxic changes",    "Bacterial infection / sepsis"],
      ["Neutrophilia alone (no toxic changes)",        "Physiologic stress, corticosteroids"],
      ["Neutropenia + no toxic changes",               "Drug effect, PIH, immune-mediated"],
      ["Lymphocytosis + atypical lymphocytes",         "EBV infectious mononucleosis"],
      ["Lymphocytosis + mature small lymphocytes",     "CLL (chronic lymphocytic leukemia)"],
      ["Eosinophilia mild-moderate",                   "Allergy / atopic disease"],
      ["Eosinophilia marked (>5.0 ×10³/µL)",          "Tissue-invasive parasites"],
      ["Basophilia",                                   "CML (until proven otherwise)"],
      ["Monocytosis",                                  "TB, chronic infection, AML-M5"],
      ["Lymphopenia",                                  "HIV/AIDS, corticosteroids, radiation"],
      ["Pancytopenia",                                 "Aplastic anemia, marrow infiltration, megaloblastic anemia"],
      ["Neutrophilia + basophilia + eosinophilia",     "CML (or leukemoid reaction if BCR-ABL negative)"],
    ],
    0.45, 1.0, 9.1, 4.5, C.green
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 10 — DLC in Specific Diseases
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "DLC Patterns in Specific Diseases");

  addTable(s,
    ["Disease", "Classic DLC Pattern"],
    [
      ["Bacterial sepsis",          "Neutrophilia + left shift + toxic granulation + Döhle bodies + vacuoles"],
      ["Viral infection (EBV/mono)","Lymphocytosis with atypical (reactive) lymphocytes"],
      ["CML",                       "Neutrophilia + basophilia + eosinophilia; all myeloid stages; BCR-ABL+"],
      ["CLL",                       "Lymphocytosis of mature small lymphocytes; smear (smudge) cells"],
      ["Pertussis",                 "Lymphocytosis (unusual for a bacterial cause)"],
      ["Tuberculosis",              "Lymphocytosis or monocytosis; possible neutropenia"],
      ["Parasitic infection",       "Eosinophilia (tissue-invasive helminths especially)"],
      ["HIV/AIDS",                  "Lymphopenia (CD4+ depletion) + neutropenia"],
      ["Felty syndrome",            "Neutropenia + RA + splenomegaly"],
      ["B12 / folate deficiency",   "Hypersegmented neutrophils; pancytopenia; macrocytic anemia"],
      ["Cushing's syndrome",        "Neutrophilia + lymphopenia + eosinopenia"],
      ["Addison's disease",         "Eosinophilia + lymphocytosis + neutropenia"],
    ],
    0.45, 1.0, 9.1, 4.5, C.amber
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 11 — Key Formulas + Sources
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.offwhite);
  section_header(s, "Key Formulas & Sources");

  // Formulas
  addRect(s, 0.45, 1.0, 9.1, 0.3, C.blue);
  s.addText("Key Formulas", { x: 0.5, y: 1.0, w: 9.0, h: 0.3, fontSize: 13, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  const formulas = [
    ["Absolute Cell Count", "= Total WBC  ×  (% of cell type ÷ 100)"],
    ["Corrected WBC (for nRBCs)", "= WBC  ×  100  ÷  (100 + nRBCs per 100 WBCs)"],
  ];
  formulas.forEach(([label, formula], i) => {
    addRect(s, 0.45, 1.34 + i * 0.42, 9.1, 0.38, i % 2 === 0 ? C.blueLight : C.white);
    s.addText(label + ":", { x: 0.6, y: 1.38 + i * 0.42, w: 4.0, h: 0.3, fontSize: 12, bold: true, color: C.navy, fontFace: "Calibri", valign: "middle", margin: 0 });
    s.addText(formula, { x: 4.5, y: 1.38 + i * 0.42, w: 5.0, h: 0.3, fontSize: 12, color: C.darkgrey, fontFace: "Calibri", valign: "middle", margin: 0 });
  });

  // Sources
  addRect(s, 0.45, 2.35, 9.1, 0.3, C.navy);
  s.addText("Sources", { x: 0.5, y: 2.35, w: 9.0, h: 0.3, fontSize: 13, bold: true, color: C.white, fontFace: "Calibri", valign: "middle", margin: 0 });

  const sources = [
    "Henry's Clinical Diagnosis and Management by Laboratory Methods, 23rd edition",
    "Goldman-Cecil Medicine (International Edition)",
    "Textbook of Family Medicine, 9th edition",
    "Tietz Textbook of Laboratory Medicine, 7th edition",
    "Quick Compendium of Clinical Pathology, 5th edition",
  ];
  sources.forEach((src, i) => {
    s.addText(`${i + 1}. ${src}`, {
      x: 0.6, y: 2.7 + i * 0.3, w: 8.9, h: 0.28,
      fontSize: 11, color: C.darkgrey, fontFace: "Calibri", valign: "top", margin: 0, italic: true,
    });
  });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 12 — End slide
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  addBg(s, C.navy);
  addRect(s, 0, 2.4, 10, 0.08, C.teal);

  s.addText("Thank You", {
    x: 0.5, y: 0.6, w: 9, h: 1.2,
    fontSize: 54, bold: true, color: C.white,
    fontFace: "Calibri", align: "center", valign: "middle",
  });
  s.addText("DLC Study Guide — Differential Leukocyte Count: Normal vs. Abnormal Patterns", {
    x: 0.5, y: 1.85, w: 9, h: 0.5,
    fontSize: 18, color: C.blueLight, fontFace: "Calibri",
    align: "center", valign: "middle", italic: true,
  });
  s.addText("For educational purposes only  |  Always verify clinical decisions against current guidelines", {
    x: 0.5, y: 4.9, w: 9, h: 0.4,
    fontSize: 12, color: C.grey, fontFace: "Calibri",
    align: "center", valign: "middle", italic: true,
  });
}

// ── Write file ────────────────────────────────────────────────────────────────
pres.writeFile({ fileName: "/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.pptx" })
  .then(() => console.log("Done: DLC_Study_Guide.pptx"))
  .catch(e => { console.error(e); process.exit(1); });
Running Command

cd /home/daytona/workspace/dlc-study-guide && node generate_pptx.js 2>&1

Running Command

ls -lh /home/daytona/workspace/dlc-study-guide/ && python3 -c " import zipfile, os path = '/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide.pptx' z = zipfile.ZipFile(path) slides = [n for n in z.namelist() if n.startswith('ppt/slides/slide') and not '_rels' in n] print('Slides:', len(slides)) print('File size:', os.path.getsize(path), 'bytes') "

12 slides, 407 KB. Done!

Your PowerPoint is ready:

DLC Study Guide

Presentation · PPTX

(407 KB, 12 slides)
Here's what's in each slide:
SlideContent
1Title slide (dark navy background)
2What Is the DLC? + Normal Reference Ranges table
3Neutrophilia - morphology, mechanisms, causes
4Left Shift, Toxic Changes + Morphological Anomalies
5Neutropenia - severity grading + causes
6Lymphocytosis vs. Lymphopenia (side by side)
7Monocytes vs. Eosinophils (side by side)
8Basophilia & Basopenia
9Quick Pattern Recognition table (green color-coded)
10DLC in Specific Diseases (amber color-coded)
11Key Formulas + Sources
12Closing slide
The deck uses a consistent color scheme: dark navy headers, blue for normal/causes, red for depletion states, green for quick patterns, amber for disease-specific patterns, with alternating row shading throughout all tables.

Change the slide style

Asking for Preferences
Writing File

~/dlc-study-guide/generate_pptx_v2.js

const pptxgen = require("pptxgenjs");
const pres = new pptxgen();
pres.layout = "LAYOUT_16x9";
pres.author = "Orris Medical AI";
pres.title = "DLC Study Guide";

// ── Palette: Medical green / white / slate ──────────────────────────────────
const C = {
  green:       "1A6B3A",   // deep clinical green (headers, accents)
  greenMid:    "2E8B57",   // mid green (subheaders, highlights)
  greenLight:  "D6EFE0",   // light green (row tints, card bgs)
  greenPale:   "F0FAF4",   // near-white green tint (slide bg)
  teal:        "0E7490",   // secondary accent (notes, callouts)
  tealLight:   "CFFAFE",   // teal tint
  white:       "FFFFFF",
  offwhite:    "F9FAFB",
  slate:       "334155",   // body text
  slateLight:  "64748B",   // secondary text
  border:      "CBD5E1",   // table borders
  red:         "B91C1C",   // danger labels
  redLight:    "FEE2E2",
  amber:       "92400E",
  amberLight:  "FEF3C7",
};

// ── Layout constants ──────────────────────────────────────────────────────────
const SW = 10, SH = 5.625;   // slide width / height in inches
const PAD = 0.45;            // left/right page margin
const INNER = SW - PAD * 2;  // usable inner width

// ── Low-level helpers ─────────────────────────────────────────────────────────
function rect(s, x, y, w, h, fill, lineColor = null) {
  const opts = { x, y, w, h, fill: { color: fill } };
  if (lineColor) opts.line = { color: lineColor, width: 1 };
  else           opts.line = { color: fill, width: 0 };
  s.addShape(pres.ShapeType.rect, opts);
}

function txt(s, text, x, y, w, h, opts = {}) {
  s.addText(text, { x, y, w, h, fontFace: "Calibri", valign: "middle", margin: 0, ...opts });
}

// ── Slide chrome ──────────────────────────────────────────────────────────────
// Thin green top bar + white body — clean clinical look
function chrome(s, title, subtitle = null) {
  // Full white background
  s.background = { color: C.white };
  // Top accent bar (full width, 0.9" tall)
  rect(s, 0, 0, SW, 0.9, C.green);
  // Bottom accent strip
  rect(s, 0, SH - 0.12, SW, 0.12, C.greenMid);
  // Title text
  txt(s, title, PAD, 0.08, INNER, 0.72,
    { fontSize: 22, bold: true, color: C.white, align: "left" });
  // Optional subtitle / section label
  if (subtitle) {
    txt(s, subtitle, PAD, 0.66, INNER, 0.26,
      { fontSize: 10, color: "A7F3D0", italic: true, align: "left" });
  }
  // Slide area starts at y = 1.0
}

// ── Section divider slide ─────────────────────────────────────────────────────
function divider(s, number, title, body) {
  s.background = { color: C.green };
  // Large number watermark
  txt(s, number, 6.5, 0.3, 3.2, 4.5,
    { fontSize: 200, bold: true, color: "1D7A42", align: "right", valign: "middle" });
  txt(s, title, PAD, 1.2, 5.5, 1.2,
    { fontSize: 36, bold: true, color: C.white, align: "left" });
  txt(s, body, PAD, 2.5, 5.5, 0.9,
    { fontSize: 14, color: "A7F3D0", italic: true, align: "left" });
  rect(s, PAD, 2.35, 1.2, 0.06, "A7F3D0");
}

// ── Key-value card ────────────────────────────────────────────────────────────
function card(s, x, y, w, h, headerText, headerBg, bodyLines) {
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  rect(s, x, y, w, h, C.white, C.border);
  // Header band
  rect(s, x, y, w, 0.34, headerBg);
  txt(s, headerText, x + 0.12, y, w - 0.24, 0.34,
    { fontSize: 11, bold: true, color: C.white, align: "left" });
  // Body text
  s.addText(bodyLines, {
    x: x + 0.12, y: y + 0.38, w: w - 0.24, h: h - 0.46,
    fontFace: "Calibri", fontSize: 10.5, color: C.slate,
    valign: "top", margin: 0,
  });
}

// ── Simple 2-column table ─────────────────────────────────────────────────────
function table2(s, headers, rows, x, y, w, hdrBg = C.green) {
  const c0 = w * 0.42, c1 = w * 0.58;
  const rh = 0.29;
  // Header
  rect(s, x,        y, c0, 0.32, hdrBg);
  rect(s, x + c0,   y, c1, 0.32, hdrBg);
  txt(s, headers[0], x + 0.1,      y, c0 - 0.12, 0.32, { fontSize: 10.5, bold: true, color: C.white });
  txt(s, headers[1], x + c0 + 0.1, y, c1 - 0.12, 0.32, { fontSize: 10.5, bold: true, color: C.white });
  // Rows
  rows.forEach(([a, b], i) => {
    const ry = y + 0.32 + i * rh;
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    rect(s, x,      ry, c0, rh, bg, C.border);
    rect(s, x + c0, ry, c1, rh, bg, C.border);
    txt(s, a, x + 0.1,      ry, c0 - 0.12, rh, { fontSize: 9.5, color: C.slate });
    txt(s, b, x + c0 + 0.1, ry, c1 - 0.12, rh, { fontSize: 9.5, color: C.slate });
  });
}

// ── 3-column table ────────────────────────────────────────────────────────────
function table3(s, headers, rows, x, y, w, hdrBg = C.green) {
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  rows.forEach((row, ri) => {
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      txt(s, cell, x + ci * cw + 0.08, ry, cw - 0.1, rh, { fontSize: 9, color: C.slate });
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  });
}

// ── Callout note ──────────────────────────────────────────────────────────────
function note(s, text, y) {
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    { fontSize: 10, color: C.teal, italic: true });
}

// ── Stat badge (big number + label) ──────────────────────────────────────────
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    { fontSize: 9, color: C.slateLight, align: "center", italic: true });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 1 — Title
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  s.background = { color: C.white };
  // Left green panel
  rect(s, 0, 0, 3.6, SH, C.green);
  // Accent strip
  rect(s, 3.6, 0, 0.08, SH, C.greenMid);

  txt(s, "DLC", 0.3, 0.5, 3.0, 2.0,
    { fontSize: 90, bold: true, color: C.white, align: "center" });
  txt(s, "Study Guide", 0.3, 2.3, 3.0, 0.9,
    { fontSize: 22, bold: true, color: "A7F3D0", align: "center" });

  txt(s, "Differential Leukocyte Count", 4.0, 1.2, 5.6, 0.7,
    { fontSize: 26, bold: true, color: C.green, align: "left" });
  txt(s, "Normal vs. Abnormal Patterns", 4.0, 1.9, 5.6, 0.5,
    { fontSize: 18, color: C.slateLight, italic: true, align: "left" });

  rect(s, 4.0, 2.5, 5.6, 0.04, C.greenLight);

  const sourceLines = [
    "Henry's Clinical Diagnosis & Management by Laboratory Methods (23e)",
    "Goldman-Cecil Medicine  |  Textbook of Family Medicine (9e)",
    "Tietz Textbook of Laboratory Medicine (7e)",
  ];
  sourceLines.forEach((l, i) => {
    txt(s, l, 4.0, 2.65 + i * 0.3, 5.6, 0.28,
      { fontSize: 9.5, color: C.slateLight, italic: true, align: "left" });
  });

  txt(s, "For educational use only", 4.0, 5.2, 5.6, 0.3,
    { fontSize: 9, color: C.border, italic: true, align: "left" });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 2 — What Is DLC + Normal Ranges
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "What Is the DLC?");

  txt(s, "The DLC quantifies the relative (%) and absolute (cells/µL) concentration of each leukocyte type in peripheral blood as part of the automated CBC.",
    PAD, 1.02, INNER, 0.42, { fontSize: 12, color: C.slate, align: "left" });

  note(s, "Key principle: Always interpret the ABSOLUTE count (WBC × % ÷ 100), not percentage alone — a raised % may just reflect depletion of another cell type.", 1.52);

  txt(s, "Normal Total WBC (Adults):  4,000 – 7,000 cells/µL  (broader ref: 4,500 – 11,000 /µL)",
    PAD, 2.0, INNER, 0.3, { fontSize: 11, bold: true, color: C.green, align: "left" });

  table3(s,
    ["Cell Type", "% of WBC", "Absolute (×10³/µL)"],
    [
      ["Neutrophils (segs + bands)", "50 – 70%",  "1.8 – 7.0  |  Bands <5%"],
      ["Lymphocytes",                "20 – 40%",  "1.0 – 4.8  |  Dominant <4 yrs"],
      ["Monocytes",                  "2 – 10%",   "0.2 – 1.0  |  Largest WBC"],
      ["Eosinophils",                "1 – 4%",    "0.04 – 0.4  |  Allergy/parasites"],
      ["Basophils",                  "0 – 1%",    "0.01 – 0.1  |  Rarest; histamine"],
    ],
    PAD, 2.35, INNER, C.green
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 3 — Neutrophilia
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Neutrophilia", "Neutrophils > 7.0 ×10³/µL");

  // 3 mechanism cards
  const mechanisms = [
    ["Demargination", "Exercise, epinephrine, stress — shifts cells from vessel walls into circulation. No increase in total pool."],
    ["Increased Marrow Output", "Cortisol, steroids, severe infections — drives release from marrow storage pool."],
    ["Decreased Egress", "Corticosteroids block neutrophil migration out of blood into tissues."],
  ];
  const cw = (INNER - 0.3) / 3;
  mechanisms.forEach(([title, body], i) => {
    card(s, PAD + i * (cw + 0.15), 1.02, cw, 1.15, title, C.greenMid,
      [{ text: body, options: { fontSize: 10, color: C.slate } }]);
  });

  table2(s,
    ["Category", "Key Examples"],
    [
      ["Infections",  "Bacterial (most common), fungal, some viral"],
      ["Inflammation","Trauma, surgery, burns, MI, post-splenectomy"],
      ["Drugs",       "Corticosteroids, G-CSF, lithium"],
      ["Physiologic", "Exercise, stress, pregnancy, neonatal"],
      ["Neoplastic",  "CML, myeloproliferative disorders"],
      ["Metabolic",   "Uremia, DKA, gout, thyrotoxicosis"],
    ],
    PAD, 2.28, INNER, C.green
  );

  note(s, "NOT neutrophilic (exceptions): TB, brucellosis, pertussis → lymphocytes dominant; Listeria → monocytes dominant.", 4.6);
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 4 — Left Shift & Toxic Changes
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Left Shift & Toxic Changes in Neutrophils");

  // Left shift explanation (left panel)
  txt(s, "Left Shift", PAD, 1.05, 4.5, 0.3,
    { fontSize: 13, bold: true, color: C.green });
  txt(s, [
    { text: "Release of immature neutrophils:\n", options: { bold: true } },
    { text: "Bands  →  Metamyelocytes  →  Myelocytes\n\n", options: {} },
    { text: "Reactive left shift ", options: { bold: true } },
    { text: "rarely includes promyelocytes or blasts.\nPromyelocytes/blasts suggest ", options: {} },
    { text: "leukemia", options: { bold: true, color: C.red } },
    { text: ", not reactive disease.", options: {} },
  ], { x: PAD, y: 1.38, w: 4.4, h: 1.1,
       fontFace: "Calibri", fontSize: 11, color: C.slate, valign: "top", margin: 0 });

  // Toxic changes (right panel)
  const tox = [
    ["Toxic Granulation", C.green,   "Dark azurophilic (primary) granules in cytoplasm. Severe infections, toxic conditions, reactive states."],
    ["Döhle Bodies",      C.greenMid,"Pale-blue oval cytoplasmic inclusions (ribosome remnants). Infections and toxic states."],
    ["Cytoplasmic Vacuoles", C.teal, "Empty vacuoles indicating active phagocytosis. Infection."],
  ];
  tox.forEach(([title, color, body], i) => {
    card(s, 5.05, 1.05 + i * 0.88, 4.5, 0.82, title, color,
      [{ text: body, options: { fontSize: 10, color: C.slate } }]);
  });

  // Anomalies table at bottom
  table3(s,
    ["Anomaly", "Description", "Significance"],
    [
      ["Pelger-Huët",     "Bilobed / pince-nez nucleus",          "Inherited (benign) or MDS"],
      ["Hypersegmentation","≥5 lobes in ≥5% of neutrophils",      "B12 / folate deficiency"],
      ["May-Hegglin",     "Döhle-like inclusions + giant platelets","Rare autosomal-dominant"],
      ["Chédiak-Higashi", "Giant fused lysosomes in all WBCs",    "AR; recurrent infections + albinism"],
    ],
    PAD, 3.75, INNER, C.slateLight
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 5 — Neutropenia
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Neutropenia", "Absolute neutrophils < 1.8 ×10³/µL");

  // Severity stat badges
  const grades = [
    ["1.0 – 1.8", "Mild",     C.greenLight],
    ["0.5 – 1.0", "Moderate", C.amberLight],
    ["< 0.5",     "Severe / Agranulocytosis  ⚠", C.redLight],
  ];
  const bw = (INNER - 0.4) / 3;
  grades.forEach(([val, label, bg], i) => {
    statBadge(s, PAD + i * (bw + 0.2), 1.02, bw, 0.85, val + " ×10³/µL", label, bg);
  });

  table2(s,
    ["Category", "Key Examples"],
    [
      ["Drugs (most common)", "Chemo, chloramphenicol, sulfonamides, phenothiazines, anticonvulsants"],
      ["Radiation",           "Dose-dependent marrow damage; lymphocytes most radiosensitive"],
      ["Immune-mediated",     "SLE, RA / Felty syndrome, AIDS — immune-mediated destruction"],
      ["Congenital",          "Kostmann syndrome, cyclic neutropenia (~21-day cycle; ELA2 mutation)"],
      ["Hematologic",         "Megaloblastic anemia, MDS, aplastic anemia, marrow infiltration"],
      ["Infectious",          "Overwhelming bacterial sepsis; viral suppression (measles, rubella)"],
      ["Other",               "Starvation, hypersplenism, alcohol, benzene toxicity"],
    ],
    PAD, 1.98, INNER, C.green
  );

  note(s, "Toxic granulation + Döhle bodies seen in infection-related neutropenia — absent in PIH (pregnancy-induced hypertension). Clinically useful distinction.", 4.6);
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 6 — Lymphocytes
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Lymphocytes");

  // Left: Lymphocytosis
  rect(s, PAD, 1.02, 4.5, 0.3, C.green);
  txt(s, "Lymphocytosis  > 4.8 ×10³/µL",
    PAD + 0.1, 1.02, 4.3, 0.3, { fontSize: 11, bold: true, color: C.white });

  table2(s,
    ["Category", "Examples"],
    [
      ["Acute viral", "EBV (mono), CMV, hepatitis, rubella, pertussis"],
      ["Chronic infections", "TB, brucellosis, toxoplasmosis"],
      ["Autoimmune", "Early RA, other autoimmune disorders"],
      ["Neoplastic", "CLL, ALL, lymphomas"],
    ],
    PAD, 1.35, 4.5, C.greenMid
  );

  note(s, "Reactive (atypical) lymphocytes: large, blue-gray cytoplasm, kidney-shaped nucleus — classic in EBV mono.", 2.95);

  // Right: Lymphopenia
  rect(s, 5.1, 1.02, 4.45, 0.3, C.red);
  txt(s, "Lymphopenia  < 1.0 ×10³/µL",
    5.2, 1.02, 4.25, 0.3, { fontSize: 11, bold: true, color: C.white });

  table2(s,
    ["Category", "Examples"],
    [
      ["Immunodeficiency", "HIV/AIDS, DiGeorge syndrome, SCID"],
      ["Adrenocortical excess", "Cushing's, high-dose corticosteroids"],
      ["Cytotoxic therapy", "Chemo, radiation (most radiosensitive WBC)"],
      ["Advanced malignancy", "Lymphomas, advanced carcinomas"],
      ["Other", "Anorexia nervosa, impaired intestinal lymphatics"],
    ],
    5.1, 1.35, 4.45, C.red
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 7 — Monocytes & Eosinophils
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Monocytes & Eosinophils");

  // Monocytosis
  rect(s, PAD, 1.02, 4.5, 0.3, C.green);
  txt(s, "Monocytosis  > 1.0 ×10³/µL",
    PAD + 0.1, 1.02, 4.3, 0.3, { fontSize: 11, bold: true, color: C.white });
  table2(s,
    ["Category", "Examples"],
    [
      ["Infections", "TB, brucellosis, SBE, Listeria, protozoa"],
      ["Hematologic", "AML-M5, AML-M4, MDS"],
      ["Inflammatory", "SLE, IBD, sarcoidosis"],
      ["Recovery / other", "Post-chemo; sprue; ulcerative colitis"],
    ],
    PAD, 1.35, 4.5, C.greenMid
  );
  note(s, "Listeria → monocyte-predominant response, esp. in neonates.", 2.95);
  txt(s, "Monocytopenia: onset of steroids; hairy cell leukemia (classic).",
    PAD, 3.42, 4.5, 0.3, { fontSize: 10, color: C.slateLight, italic: true });

  // Eosinophilia
  rect(s, 5.1, 1.02, 4.45, 0.3, C.teal);
  txt(s, "Eosinophilia  > 0.4 ×10³/µL",
    5.2, 1.02, 4.25, 0.3, { fontSize: 11, bold: true, color: C.white });

  const eSeverity = [
    ["Mild: 0.4–1.5 ×10³/µL", C.greenLight, C.green],
    ["Moderate: 1.5–5.0 ×10³/µL", C.amberLight, C.amber],
    ["Severe / HES: > 5.0 ×10³/µL ⚠", C.redLight, C.red],
  ];
  eSeverity.forEach(([label, bg, tc], i) => {
    rect(s, 5.1, 1.35 + i * 0.26, 4.45, 0.24, bg, C.border);
    txt(s, label, 5.2, 1.35 + i * 0.26, 4.25, 0.24,
      { fontSize: 10, bold: true, color: tc });
  });

  table2(s,
    ["Category", "Examples"],
    [
      ["Allergic", "Asthma, hay fever, urticaria, atopic dermatitis"],
      ["Parasitic", "Tissue-invasive helminths (Ascaris, hookworm, Toxocara)"],
      ["Neoplastic", "CML, Hodgkin lymphoma, eosinophilic leukemia"],
      ["Other", "Addison disease, Löffler syndrome, drug reactions"],
    ],
    5.1, 2.15, 4.45, C.teal
  );
  txt(s, "Eosinopenia: acute stress, Cushing's, corticosteroids.",
    5.1, 3.8, 4.45, 0.3, { fontSize: 10, color: C.slateLight, italic: true });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 8 — Basophils
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Basophils");

  // Definition
  rect(s, PAD, 1.02, INNER, 0.3, C.green);
  txt(s, "Basophilia  > 0.1 ×10³/µL  |  Basopenia < 0.01 ×10³/µL",
    PAD + 0.1, 1.02, INNER - 0.2, 0.3, { fontSize: 12, bold: true, color: C.white });

  table2(s,
    ["Category", "Basophilia Causes"],
    [
      ["Hematologic (most specific)", "CML (very characteristic), polycythemia vera, myeloid metaplasia"],
      ["Inflammatory / allergic", "Hypersensitivity reactions, chronic sinusitis, ulcerative colitis"],
      ["Endocrine", "Hypothyroidism"],
      ["Other", "Chronic hemolytic anemia, splenectomy, ionizing radiation"],
    ],
    PAD, 1.38, INNER, C.greenMid
  );

  note(s, "Persistent basophilia + neutrophilia + eosinophilia = strongly suspect CML. Send BCR-ABL (Philadelphia chromosome) testing.", 2.72);

  rect(s, PAD, 3.2, INNER, 0.3, C.slateLight);
  txt(s, "Basopenia Causes:  Sustained glucocorticoids  |  Acute infection or stress  |  Hyperthyroidism",
    PAD + 0.1, 3.2, INNER - 0.2, 0.3, { fontSize: 11, color: C.white });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 9 — Quick Pattern Recognition
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Quick Pattern Recognition");

  table2(s,
    ["DLC Pattern", "Suspect First"],
    [
      ["Neutrophilia + left shift + toxic changes",   "Bacterial infection / sepsis"],
      ["Neutrophilia alone, no toxic changes",        "Physiologic stress or corticosteroids"],
      ["Neutropenia, no toxic changes",               "Drug-induced, PIH, or immune-mediated"],
      ["Lymphocytosis + atypical lymphocytes",        "EBV infectious mononucleosis"],
      ["Lymphocytosis + mature small lymphocytes",    "CLL (chronic lymphocytic leukemia)"],
      ["Eosinophilia (mild–moderate)",                "Allergy / atopic disease"],
      ["Eosinophilia (marked, >5 ×10³/µL)",          "Tissue-invasive parasites"],
      ["Basophilia",                                  "CML — until proven otherwise"],
      ["Monocytosis",                                 "TB, chronic infection, or AML-M5"],
      ["Lymphopenia",                                 "HIV/AIDS, corticosteroids, radiation"],
      ["Pancytopenia",                                "Aplastic anemia, marrow infiltration, megaloblastic anemia"],
      ["Neutrophilia + basophilia + eosinophilia",    "CML (leukemoid reaction if BCR-ABL negative)"],
    ],
    PAD, 1.02, INNER, C.green
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 10 — Disease Patterns
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "DLC Patterns in Specific Diseases");

  table2(s,
    ["Disease", "Classic DLC Pattern"],
    [
      ["Bacterial sepsis",          "Neutrophilia + left shift + toxic granulation + Döhle bodies"],
      ["EBV mononucleosis",         "Lymphocytosis with atypical (reactive) lymphocytes"],
      ["CML",                       "Neutrophilia + basophilia + eosinophilia; BCR-ABL positive"],
      ["CLL",                       "Mature small lymphocytosis; smudge cells on film"],
      ["Pertussis",                 "Lymphocytosis (unusually, for a bacterial infection)"],
      ["Tuberculosis",              "Lymphocytosis or monocytosis; possible neutropenia"],
      ["HIV/AIDS",                  "Lymphopenia (CD4+ depletion) + neutropenia"],
      ["Felty syndrome",            "Neutropenia + RA + splenomegaly"],
      ["B12 / folate deficiency",   "Hypersegmented neutrophils; pancytopenia; macrocytic anemia"],
      ["Cushing's syndrome",        "Neutrophilia + lymphopenia + eosinopenia"],
      ["Addison's disease",         "Eosinophilia + lymphocytosis + neutropenia"],
      ["Listeria (neonates)",       "Monocyte-predominant response"],
    ],
    PAD, 1.02, INNER, C.green
  );
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 11 — Formulas
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  chrome(s, "Key Formulas");

  const fw = (INNER - 0.2) / 2;
  [
    ["Absolute Cell Count", "Total WBC  ×  (% cell type ÷ 100)", C.greenLight],
    ["Corrected WBC (nRBCs)", "WBC  ×  100  ÷  (100 + nRBCs per 100 WBCs)", C.tealLight],
  ].forEach(([label, formula, bg], i) => {
    rect(s, PAD + i * (fw + 0.2), 1.1, fw, 1.2, bg, C.border);
    txt(s, label, PAD + i * (fw + 0.2) + 0.15, 1.2, fw - 0.3, 0.35,
      { fontSize: 12, bold: true, color: C.green, align: "center" });
    txt(s, formula, PAD + i * (fw + 0.2) + 0.1, 1.62, fw - 0.2, 0.5,
      { fontSize: 13, color: C.slate, align: "center", italic: true });
  });

  // Sources
  rect(s, PAD, 2.55, INNER, 0.3, C.green);
  txt(s, "References", PAD + 0.1, 2.55, INNER - 0.2, 0.3,
    { fontSize: 12, bold: true, color: C.white });

  const sources = [
    "Henry's Clinical Diagnosis and Management by Laboratory Methods, 23rd edition",
    "Goldman-Cecil Medicine (International Edition)",
    "Textbook of Family Medicine, 9th edition",
    "Tietz Textbook of Laboratory Medicine, 7th edition  |  Quick Compendium of Clinical Pathology, 5th edition",
  ];
  sources.forEach((src, i) => {
    txt(s, `${i + 1}.  ${src}`, PAD, 2.9 + i * 0.3, INNER, 0.28,
      { fontSize: 10, color: C.slateLight, italic: true });
  });
}

// ════════════════════════════════════════════════════════════════════════════
// SLIDE 12 — End
// ════════════════════════════════════════════════════════════════════════════
{
  const s = pres.addSlide();
  s.background = { color: C.white };
  rect(s, 0, 0, 3.6, SH, C.green);
  rect(s, 3.6, 0, 0.08, SH, C.greenMid);

  txt(s, "Thank\nYou", 0.2, 0.4, 3.2, 3.2,
    { fontSize: 54, bold: true, color: C.white, align: "center", valign: "middle" });
  txt(s, "DLC Study Guide", 3.9, 1.5, 5.7, 0.7,
    { fontSize: 28, bold: true, color: C.green, align: "left" });
  txt(s, "Differential Leukocyte Count\nNormal vs. Abnormal Patterns", 3.9, 2.25, 5.7, 0.8,
    { fontSize: 15, color: C.slateLight, italic: true, align: "left" });

  rect(s, 3.9, 3.2, 5.7, 0.04, C.greenLight);
  txt(s, "For educational purposes only  |  Always verify clinical decisions against current guidelines.",
    3.9, 3.3, 5.7, 0.4, { fontSize: 9.5, color: C.border, italic: true, align: "left" });
}

// ── Write ─────────────────────────────────────────────────────────────────────
pres.writeFile({ fileName: "/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide_v2.pptx" })
  .then(() => console.log("Done"))
  .catch(e => { console.error(e); process.exit(1); });
Running Command

cd /home/daytona/workspace/dlc-study-guide && node generate_pptx_v2.js 2>&1 | grep -v '"none"'

Running Command

python3 -c " import zipfile, os path = '/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide_v2.pptx' z = zipfile.ZipFile(path) slides = [n for n in z.namelist() if n.startswith('ppt/slides/slide') and '_rels' not in n] print(f'Slides: {len(slides)}, Size: {os.path.getsize(path):,} bytes') "

Done. Here's your restyled deck:

DLC Study Guide v2

Presentation · PPTX

(384 KB, 12 slides)

Here's what changed in the new style:
Old StyleNew Style
BackgroundOff-white/greyClean white throughout
HeadersDark navy barDeep clinical green bar
AccentBlue, red, amber, yellow mixGreen + teal (with red only for danger labels)
LayoutDense, many tables per slideMore whitespace, cards for mechanism slides
Title slideFull-width colour blockSplit panel (green left, white right)
Section dividersNoneLarge watermark number + title
FontsMixed weightsCalibri throughout, lighter body weight
TablesAlternating blue rowsAlternating soft green rows
Callout notesBlue left-borderTeal left-border with teal tint background

Make more beautiful

Writing File

~/dlc-study-guide/generate_pptx_v3.js

const pptxgen = require("pptxgenjs");
const pres = new pptxgen();
pres.layout = "LAYOUT_16x9";
pres.author = "Orris Medical AI";
pres.title = "DLC Study Guide";

// ═══════════════════════════════════════════════════════════════════════════
// DESIGN SYSTEM
// Deep forest green dominant + crisp white + warm gold accent
// ═══════════════════════════════════════════════════════════════════════════
const C = {
  // Primary greens
  forest:      "0D4F2E",   // dominant dark green
  emerald:     "1A6B3A",   // mid green
  sage:        "2E8B57",   // lighter green
  mint:        "D1FAE5",   // very light green tint
  mintPale:    "F0FDF4",   // near-white green

  // Gold accent
  gold:        "D4A017",   // warm gold
  goldLight:   "FEF9E7",   // pale gold
  goldMid:     "F5C842",   // bright gold

  // Neutrals
  white:       "FFFFFF",
  pearl:       "FAFAFA",
  smoke:       "F1F5F9",
  ash:         "E2E8F0",
  ink:         "1E293B",   // near-black for body text
  muted:       "64748B",   // secondary text
  ghost:       "CBD5E1",   // borders

  // Semantic
  rose:        "BE123C",
  roseLight:   "FFE4E6",
  sky:         "0369A1",
  skyLight:    "E0F2FE",
};

const SW = 10, SH = 5.625;
const PAD = 0.42;
const IW = SW - PAD * 2;   // 9.16" inner width

// ── Primitives ────────────────────────────────────────────────────────────
function R(s, x, y, w, h, fill, opts = {}) {
  s.addShape(pres.ShapeType.rect, {
    x, y, w, h,
    fill: { color: fill },
    line: opts.line ? opts.line : { color: fill, width: 0 },
    shadow: opts.shadow || undefined,
  });
}

function T(s, content, x, y, w, h, opts = {}) {
  s.addText(content, {
    x, y, w, h,
    fontFace: "Calibri",
    valign: "middle",
    margin: opts.margin !== undefined ? opts.margin : 0,
    ...opts,
  });
}

// Rounded-rectangle simulation via shape
function pill(s, x, y, w, h, fill) {
  s.addShape(pres.ShapeType.roundRect, {
    x, y, w, h,
    fill: { color: fill },
    line: { color: fill, width: 0 },
    rectRadius: 0.06,
  });
}

// ── Slide chrome: green top bar with gold underline ───────────────────────
function chrome(s, title, tag = null) {
  s.background = { color: C.white };
  // Top bar
  R(s, 0, 0, SW, 0.82, C.forest);
  // Gold accent stripe under bar
  R(s, 0, 0.82, SW, 0.055, C.gold);
  // Page bottom strip
  R(s, 0, SH - 0.1, SW, 0.1, C.mint);

  T(s, title, PAD, 0.1, IW - 1.2, 0.62,
    { fontSize: 21, bold: true, color: C.white, align: "left" });

  if (tag) {
    pill(s, SW - PAD - 1.8, 0.18, 1.8, 0.46, C.gold);
    T(s, tag, SW - PAD - 1.8, 0.18, 1.8, 0.46,
      { fontSize: 10, bold: true, color: C.forest, align: "center" });
  }
}

// ── Section divider (full dark slide) ────────────────────────────────────
function sectionDivider(s, num, heading, sub) {
  s.background = { color: C.forest };
  // Decorative diagonal stripe
  R(s, 6.2, 0, 3.8, SH, "0B4428");
  // Gold vertical bar left
  R(s, 0, 0, 0.18, SH, C.gold);

  T(s, num, 6.5, -0.1, 3.2, SH + 0.2,
    { fontSize: 220, bold: true, color: "0B4428", align: "right", valign: "middle" });

  T(s, heading, 0.45, 1.3, 5.8, 1.1,
    { fontSize: 38, bold: true, color: C.white, align: "left" });

  R(s, 0.45, 2.5, 1.4, 0.07, C.gold);

  T(s, sub, 0.45, 2.68, 5.6, 0.65,
    { fontSize: 14, color: "A7F3D0", italic: true, align: "left" });
}

// ── Card with header band ─────────────────────────────────────────────────
function card(s, x, y, w, h, headerText, hBg, bodyArr, options = {}) {
  // Card shadow simulation
  R(s, x + 0.04, y + 0.04, w, h, C.ash);
  // Card body
  R(s, x, y, w, h, C.white, { line: { color: C.ash, width: 1 } });
  // Header band
  R(s, x, y, w, 0.36, hBg);
  // Gold bottom border
  R(s, x, y + h - 0.05, w, 0.05, C.gold);

  T(s, headerText, x + 0.12, y + 0.01, w - 0.24, 0.34,
    { fontSize: 11, bold: true, color: C.white, align: "left" });

  s.addText(bodyArr, {
    x: x + 0.12, y: y + 0.42, w: w - 0.24, h: h - 0.54,
    fontFace: "Calibri", fontSize: 10, color: C.ink,
    valign: "top", margin: 0,
  });
}

// ── Stat badge (big value + label) ───────────────────────────────────────
function badge(s, x, y, w, h, value, label, bg, textColor = C.forest) {
  R(s, x + 0.035, y + 0.035, w, h, C.ash);
  R(s, x, y, w, h, bg, { line: { color: C.ghost, width: 1 } });
  R(s, x, y + h - 0.07, w, 0.07, C.gold);
  T(s, value, x, y + 0.08, w, h * 0.52,
    { fontSize: 20, bold: true, color: textColor, align: "center" });
  T(s, label, x, y + h * 0.54, w, h * 0.38,
    { fontSize: 9, color: C.muted, align: "center", italic: true });
}

// ── Slim 2-col table with gold header ────────────────────────────────────
function tbl2(s, h1, h2, rows, x, y, totalW, hBg = C.forest, rh = 0.285) {
  const c0 = totalW * 0.42, c1 = totalW * 0.58;
  // Shadow
  R(s, x + 0.04, y + 0.04, totalW, 0.33 + rows.length * rh, C.ash);
  // Header
  R(s, x, y, c0, 0.33, hBg);
  R(s, x + c0, y, c1, 0.33, hBg);
  T(s, h1, x + 0.1, y, c0 - 0.12, 0.33,
    { fontSize: 10.5, bold: true, color: C.white });
  T(s, h2, x + c0 + 0.1, y, c1 - 0.12, 0.33,
    { fontSize: 10.5, bold: true, color: C.white });
  // Rows
  rows.forEach(([a, b], i) => {
    const ry = y + 0.33 + i * rh;
    const bg = i % 2 === 0 ? C.white : C.mintPale;
    R(s, x, ry, c0, rh, bg, { line: { color: C.ash, width: 0.5 } });
    R(s, x + c0, ry, c1, rh, bg, { line: { color: C.ash, width: 0.5 } });
    T(s, a, x + 0.1, ry, c0 - 0.14, rh, { fontSize: 9.5, color: C.ink });
    T(s, b, x + c0 + 0.1, ry, c1 - 0.14, rh, { fontSize: 9.5, color: C.ink });
  });
}

// ── 3-col table ───────────────────────────────────────────────────────────
function tbl3(s, headers, rows, x, y, totalW, hBg = C.forest) {
  const cw = totalW / 3;
  const rh = 0.275;
  R(s, x + 0.04, y + 0.04, totalW, 0.33 + rows.length * rh, C.ash);
  headers.forEach((h, i) => {
    R(s, x + i * cw, y, cw, 0.33, hBg);
    T(s, h, x + i * cw + 0.09, y, cw - 0.12, 0.33,
      { fontSize: 10, bold: true, color: C.white });
  });
  rows.forEach((row, ri) => {
    const ry = y + 0.33 + ri * rh;
    const bg = ri % 2 === 0 ? C.white : C.mintPale;
    row.forEach((cell, ci) => {
      R(s, x + ci * cw, ry, cw, rh, bg, { line: { color: C.ash, width: 0.5 } });
      T(s, cell, x + ci * cw + 0.09, ry, cw - 0.12, rh,
        { fontSize: 9, color: C.ink });
    });
  });
}

// ── Callout note ──────────────────────────────────────────────────────────
function note(s, text, y, icon = "★") {
  R(s, PAD, y, IW, 0.4, C.goldLight, { line: { color: C.gold, width: 1 } });
  R(s, PAD, y, 0.36, 0.4, C.gold);
  T(s, icon, PAD, y, 0.36, 0.4,
    { fontSize: 14, bold: true, color: C.white, align: "center" });
  T(s, text, PAD + 0.42, y, IW - 0.48, 0.4,
    { fontSize: 10, color: C.forest, italic: true });
}

// ── Divider line ──────────────────────────────────────────────────────────
function hr(s, y) { R(s, PAD, y, IW, 0.04, C.mint); }

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 1 — TITLE
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  s.background = { color: C.forest };

  // Right decorative panel
  R(s, 5.8, 0, 4.2, SH, "0B4428");
  R(s, 5.8, 0, 0.07, SH, C.gold);

  // Watermark cell icon (large background text)
  T(s, "WBC", 5.6, 0.2, 4.1, 5.0,
    { fontSize: 130, bold: true, color: "0B4428", align: "center", valign: "middle" });

  // Left content
  R(s, 0.42, 1.0, 1.0, 0.1, C.gold);   // gold rule above
  T(s, "DLC", 0.35, 1.15, 5.2, 1.8,
    { fontSize: 88, bold: true, color: C.white, align: "left", charSpacing: -2 });
  T(s, "Study Guide", 0.42, 2.95, 5.2, 0.7,
    { fontSize: 30, bold: false, color: C.goldMid, align: "left" });
  T(s, "Differential Leukocyte Count", 0.42, 3.7, 5.2, 0.4,
    { fontSize: 14, color: "A7F3D0", italic: true, align: "left" });
  T(s, "Normal vs. Abnormal Patterns", 0.42, 4.1, 5.2, 0.35,
    { fontSize: 13, color: C.mint, italic: true, align: "left" });

  R(s, 0.42, SH - 0.35, 5.2, 0.04, C.gold);
  T(s, "Henry's Clinical Diagnosis & Management (23e)  |  Goldman-Cecil  |  Family Medicine (9e)  |  Tietz (7e)",
    0.42, SH - 0.3, 5.2, 0.28,
    { fontSize: 8.5, color: C.muted, italic: true });
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 2 — OVERVIEW: What Is the DLC?
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "What Is the DLC?", "OVERVIEW");

  T(s, "The DLC quantifies the relative (%) and absolute (cells/µL) concentration of each leukocyte type in peripheral blood — part of every automated CBC.",
    PAD, 0.96, IW, 0.38,
    { fontSize: 12, color: C.ink });

  note(s, "Always interpret ABSOLUTE count (WBC × % ÷ 100), not percentage alone. A raised % may simply reflect depletion of another cell type.", 1.42);

  // WBC stat row
  const stats = [
    ["4,000–7,000", "Normal WBC /µL (adult)", C.mint],
    ["5 types", "WBC subtypes measured", C.goldLight],
    ["~⅔ : ⅓", "Neutrophils : Lymphocytes", C.skyLight],
  ];
  const sw2 = (IW - 0.4) / 3;
  stats.forEach(([val, lbl, bg], i) => {
    badge(s, PAD + i * (sw2 + 0.2), 1.9, sw2, 0.82, val, lbl, bg);
  });

  tbl3(s,
    ["Cell Type", "% of WBC (Adult)", "Absolute ×10³/µL"],
    [
      ["Neutrophils (segs + bands)", "50–70%",  "1.8–7.0  ·  Bands <5%"],
      ["Lymphocytes",                "20–40%",  "1.0–4.8  ·  Dominant <4 yrs"],
      ["Monocytes",                  "2–10%",   "0.2–1.0  ·  Largest WBC"],
      ["Eosinophils",                "1–4%",    "0.04–0.4  ·  Allergy/parasites"],
      ["Basophils",                  "0–1%",    "0.01–0.1  ·  Histamine carrier"],
    ],
    PAD, 2.82, IW
  );
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 3 — NEUTROPHILIA
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Neutrophilia", "NEUTROPHILS ↑");

  // 3 mechanism cards
  const mech = [
    ["Demargination",       "Epinephrine, exercise, stress shift cells from vessel wall pool → circulating pool. Total granulocyte pool unchanged."],
    ["↑ Marrow Output",     "Infection, corticosteroids, G-CSF stimulate release from bone marrow storage pool."],
    ["↓ Tissue Egress",     "Corticosteroids block neutrophil migration out of blood into tissues."],
  ];
  const cw3 = (IW - 0.3) / 3;
  mech.forEach(([title, body], i) => {
    card(s, PAD + i * (cw3 + 0.15), 1.0, cw3, 1.1, title, C.emerald,
      [{ text: body, options: { fontSize: 10, color: C.ink } }]);
  });

  tbl2(s, "Category", "Key Examples",
    [
      ["Infections",    "Bacterial (most common), fungal, some viral"],
      ["Inflammation",  "Trauma, surgery, burns, MI"],
      ["Drugs",         "Corticosteroids, G-CSF, lithium"],
      ["Physiologic",   "Exercise, stress, pregnancy, neonatal"],
      ["Neoplastic",    "CML, myeloproliferative disorders"],
      ["Metabolic",     "Uremia, DKA, gout"],
    ],
    PAD, 2.2, IW
  );

  note(s, "⚠ Exceptions: TB · brucellosis · pertussis → lymphocyte-dominant.  Listeria → monocyte-dominant.", 4.58, "!");
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 4 — LEFT SHIFT & TOXIC CHANGES
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Left Shift & Toxic Changes", "NEUTROPHILS");

  // Left shift box
  R(s, PAD, 1.0, 4.45, 0.32, C.emerald);
  T(s, "Left Shift", PAD + 0.1, 1.0, 4.25, 0.32,
    { fontSize: 12, bold: true, color: C.white });
  s.addText([
    { text: "Immature neutrophil release from marrow:\n", options: { bold: true, fontSize: 11 } },
    { text: "Bands → Metamyelocytes → Myelocytes\n\n", options: { fontSize: 11 } },
    { text: "Reactive shift ", options: { bold: true, fontSize: 11 } },
    { text: "rarely includes promyelocytes or blasts.\n", options: { fontSize: 11 } },
    { text: "Blasts → suspect leukaemia, not reactive.", options: { fontSize: 11, color: C.rose, bold: true } },
  ], { x: PAD + 0.1, y: 1.38, w: 4.25, h: 1.05,
       fontFace: "Calibri", color: C.ink, valign: "top", margin: 0 });

  // Toxic changes — 3 cards right column
  const tox = [
    ["Toxic Granulation",   C.forest,  "Dark azurophilic (primary) granules. Severe infections and toxic/reactive conditions."],
    ["Döhle Bodies",        C.emerald, "Pale-blue oval cytoplasmic ribosome remnants. Infections and toxic states."],
    ["Cytoplasmic Vacuoles",C.sage,    "Empty vacuoles — indicate active phagocytosis during infection."],
  ];
  tox.forEach(([title, bg, body], i) => {
    card(s, 5.05, 1.0 + i * 0.86, 4.51, 0.8, title, bg,
      [{ text: body, options: { fontSize: 10, color: C.ink } }]);
  });

  // Anomalies at bottom
  tbl3(s,
    ["Anomaly", "Description", "Significance"],
    [
      ["Pelger-Huët",      "Bilobed / pince-nez nucleus",         "Inherited (benign) or MDS"],
      ["Hypersegmentation","≥5 lobes in ≥5% neutrophils",         "B12 / folate deficiency"],
      ["Alder-Reilly",     "Prominent azurophilic granulation",    "Mucopolysaccharidoses; NOT infection"],
      ["Chédiak-Higashi",  "Giant fused lysosomes in ALL WBCs",   "AR; pyogenic infections + albinism"],
    ],
    PAD, 3.68, IW, C.muted
  );
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 5 — NEUTROPENIA
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Neutropenia", "NEUTROPHILS ↓");

  // Severity badges
  const grades = [
    ["1.0–1.8 ×10³/µL", "MILD",     C.mint,       C.forest],
    ["0.5–1.0 ×10³/µL", "MODERATE", C.goldLight,  C.forest],
    ["< 0.5 ×10³/µL",   "SEVERE ⚠", C.roseLight,  C.rose],
  ];
  const bw = (IW - 0.4) / 3;
  grades.forEach(([val, lbl, bg, tc], i) => {
    badge(s, PAD + i * (bw + 0.2), 1.0, bw, 0.88, val, lbl, bg, tc);
  });

  tbl2(s, "Category", "Key Examples",
    [
      ["Drugs (most common)", "Chemo · chloramphenicol · sulfonamides · phenothiazines · anticonvulsants"],
      ["Radiation",           "Dose-dependent marrow damage; lymphocytes most radiosensitive"],
      ["Immune-mediated",     "SLE · RA/Felty syndrome · AIDS"],
      ["Congenital",          "Kostmann · cyclic neutropenia (ELA2, ~21-day cycle) · Chédiak-Higashi"],
      ["Hematologic",         "Megaloblastic anemia · MDS · aplastic anemia · marrow infiltration"],
      ["Infectious",          "Overwhelming bacterial sepsis; measles, rubella (viral suppression)"],
      ["Other",               "Starvation · hypersplenism · alcohol · benzene"],
    ],
    PAD, 1.98, IW
  );

  note(s, "Toxic granulation + Döhle bodies present in infection-related neutropenia — ABSENT in PIH. Clinically useful distinction.", 4.6);
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 6 — LYMPHOCYTES
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Lymphocytes", "LYMPHOCYTES");

  // Left half — Lymphocytosis
  R(s, PAD, 1.0, 4.5, 0.32, C.forest);
  T(s, "↑ Lymphocytosis  > 4.8 ×10³/µL",
    PAD + 0.1, 1.0, 4.3, 0.32,
    { fontSize: 11, bold: true, color: C.white });
  tbl2(s, "Category", "Examples",
    [
      ["Acute viral (most common)", "EBV (mono), CMV, hepatitis, rubella, pertussis"],
      ["Chronic infections",        "TB, brucellosis, toxoplasmosis"],
      ["Autoimmune",                "Early RA, other autoimmune disorders"],
      ["Neoplastic",                "CLL, ALL, lymphomas"],
    ],
    PAD, 1.35, 4.5, C.emerald, 0.285
  );
  note(s, "Reactive (atypical) lymphocytes: large, blue-gray cytoplasm, kidney-shaped nucleus — classic in EBV mono.", 2.9, "★");

  // Right half — Lymphopenia
  R(s, 5.1, 1.0, 4.46, 0.32, C.rose);
  T(s, "↓ Lymphopenia  < 1.0 ×10³/µL",
    5.2, 1.0, 4.26, 0.32,
    { fontSize: 11, bold: true, color: C.white });
  tbl2(s, "Category", "Examples",
    [
      ["Immunodeficiency",     "HIV/AIDS, DiGeorge syndrome, SCID"],
      ["Adrenocortical excess","Cushing's, high-dose corticosteroids"],
      ["Cytotoxic therapy",    "Chemo · radiation (most radiosensitive WBC)"],
      ["Advanced malignancy",  "Lymphomas, advanced carcinomas"],
      ["Other",                "Anorexia nervosa, impaired intestinal lymphatics"],
    ],
    5.1, 1.35, 4.46, C.rose, 0.285
  );
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 7 — MONOCYTES & EOSINOPHILS
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Monocytes & Eosinophils");

  // ── Monocytes ──
  R(s, PAD, 1.0, 4.5, 0.32, C.forest);
  T(s, "Monocytosis  > 1.0 ×10³/µL",
    PAD + 0.1, 1.0, 4.3, 0.32,
    { fontSize: 11, bold: true, color: C.white });
  tbl2(s, "Category", "Examples",
    [
      ["Infections",    "TB · brucellosis · SBE · Listeria · protozoa"],
      ["Hematologic",   "AML-M5, AML-M4, MDS"],
      ["Inflammatory",  "SLE, IBD, sarcoidosis"],
      ["Recovery",      "Post-chemo; monocytes recover before neutrophils"],
    ],
    PAD, 1.35, 4.5, C.emerald, 0.285
  );
  note(s, "Listeria → monocyte-predominant response, especially in neonates.", 2.9, "★");
  T(s, "Monocytopenia:  onset of steroids  |  hairy cell leukaemia (classic)",
    PAD, 3.4, 4.5, 0.3,
    { fontSize: 9.5, color: C.muted, italic: true });

  // ── Eosinophils ──
  R(s, 5.1, 1.0, 4.46, 0.32, C.sky);
  T(s, "Eosinophilia  > 0.4 ×10³/µL",
    5.2, 1.0, 4.26, 0.32,
    { fontSize: 11, bold: true, color: C.white });

  const eSev = [
    ["Mild 0.4–1.5",   C.mint,      C.forest],
    ["Moderate 1.5–5", C.goldLight, C.forest],
    ["Severe > 5.0 ⚠", C.roseLight, C.rose],
  ];
  const esw = 4.46 / 3;
  eSev.forEach(([lbl, bg, tc], i) => {
    R(s, 5.1 + i * esw, 1.35, esw, 0.3, bg, { line: { color: C.ghost, width: 0.5 } });
    T(s, lbl, 5.1 + i * esw + 0.06, 1.35, esw - 0.08, 0.3,
      { fontSize: 9.5, bold: true, color: tc, align: "center" });
  });

  tbl2(s, "Category", "Examples",
    [
      ["Allergic",   "Asthma, hay fever, urticaria, atopic dermatitis"],
      ["Parasitic",  "Tissue-invasive helminths (Ascaris, hookworm, Toxocara)"],
      ["Neoplastic", "CML · Hodgkin lymphoma · eosinophilic leukemia"],
      ["Other",      "Addison disease · Löffler syndrome · drug reactions"],
    ],
    5.1, 1.7, 4.46, C.sky, 0.285
  );
  T(s, "Eosinopenia:  acute stress  |  Cushing's  |  corticosteroids",
    5.1, 3.7, 4.46, 0.3,
    { fontSize: 9.5, color: C.muted, italic: true });
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 8 — BASOPHILS
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Basophils", "BASOPHILS");

  R(s, PAD, 1.0, IW, 0.32, C.forest);
  T(s, "Basophilia  > 0.1 ×10³/µL",
    PAD + 0.1, 1.0, IW - 0.2, 0.32,
    { fontSize: 12, bold: true, color: C.white });

  tbl2(s, "Category", "Basophilia Causes",
    [
      ["Hematologic (most specific)", "CML (very characteristic) · polycythemia vera · myeloid metaplasia"],
      ["Inflammatory / allergic",     "Hypersensitivity reactions · chronic sinusitis"],
      ["Endocrine",                   "Hypothyroidism"],
      ["Other",                       "Chronic hemolytic anemia · splenectomy · ionizing radiation"],
    ],
    PAD, 1.36, IW
  );

  note(s, "Basophilia + neutrophilia + eosinophilia = suspect CML immediately. Send BCR-ABL / Philadelphia chromosome testing.", 2.76);

  R(s, PAD, 3.26, IW, 0.32, C.muted);
  T(s, "Basopenia:  Sustained glucocorticoids  |  Acute infection / stress  |  Hyperthyroidism",
    PAD + 0.1, 3.26, IW - 0.2, 0.32,
    { fontSize: 11, bold: true, color: C.white });
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 9 — QUICK PATTERN RECOGNITION
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Quick Pattern Recognition", "CLINICAL PEARLS");

  tbl2(s, "DLC Pattern", "First Diagnosis to Suspect",
    [
      ["Neutrophilia + left shift + toxic changes",  "Bacterial infection / sepsis"],
      ["Neutrophilia alone, no toxic changes",       "Physiologic stress or corticosteroids"],
      ["Neutropenia, no toxic changes",              "Drug-induced · PIH · immune-mediated"],
      ["Lymphocytosis + atypical lymphocytes",       "EBV infectious mononucleosis"],
      ["Lymphocytosis + mature small lymphocytes",   "CLL (chronic lymphocytic leukaemia)"],
      ["Eosinophilia (mild–moderate)",               "Allergy / atopic disease"],
      ["Eosinophilia (marked > 5 ×10³/µL)",         "Tissue-invasive parasites"],
      ["Basophilia",                                 "CML — until proven otherwise"],
      ["Monocytosis",                                "TB · chronic infection · AML-M5"],
      ["Lymphopenia",                                "HIV/AIDS · corticosteroids · radiation"],
      ["Pancytopenia",                               "Aplastic anemia · marrow infiltration · megaloblastic anemia"],
      ["Neutrophilia + basophilia + eosinophilia",   "CML (leukemoid reaction if BCR-ABL negative)"],
    ],
    PAD, 1.0, IW, C.forest, 0.275
  );
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 10 — DISEASE PATTERNS
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "DLC Patterns in Specific Diseases", "DIAGNOSIS");

  tbl2(s, "Disease", "Classic DLC Pattern",
    [
      ["Bacterial sepsis",        "Neutrophilia + left shift + toxic granulation + Döhle bodies"],
      ["EBV mononucleosis",       "Lymphocytosis with atypical (reactive) lymphocytes"],
      ["CML",                     "Neutrophilia + basophilia + eosinophilia; BCR-ABL positive"],
      ["CLL",                     "Mature small lymphocytosis; smudge cells on blood film"],
      ["Pertussis",               "Lymphocytosis (unusually, for a bacterial infection)"],
      ["HIV/AIDS",                "Lymphopenia (CD4+ depletion) + neutropenia"],
      ["Felty syndrome",          "Neutropenia + RA + splenomegaly"],
      ["B12 / folate deficiency", "Hypersegmented neutrophils; pancytopenia; macrocytic anemia"],
      ["Cushing's syndrome",      "Neutrophilia + lymphopenia + eosinopenia"],
      ["Addison's disease",       "Eosinophilia + lymphocytosis + neutropenia"],
      ["Listeria (neonates)",     "Monocyte-predominant response"],
      ["Tuberculosis",            "Lymphocytosis or monocytosis; possible neutropenia"],
    ],
    PAD, 1.0, IW, C.forest, 0.275
  );
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 11 — KEY FORMULAS & SOURCES
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  chrome(s, "Key Formulas & References", "SUMMARY");

  const fw = (IW - 0.24) / 2;

  // Formula cards
  [
    ["Absolute Cell Count", "Total WBC  ×  (% cell type ÷ 100)", C.mint, C.forest],
    ["Corrected WBC (nRBCs)", "WBC × 100 ÷ (100 + nRBCs per 100 WBCs)", C.goldLight, C.forest],
  ].forEach(([title, formula, bg, tc], i) => {
    // Shadow
    R(s, PAD + i * (fw + 0.24) + 0.04, 1.04, fw, 1.1, C.ash);
    // Card
    R(s, PAD + i * (fw + 0.24), 1.0, fw, 1.1, bg, { line: { color: C.ghost, width: 1 } });
    R(s, PAD + i * (fw + 0.24), 1.0, fw, 0.08, C.gold);  // top gold bar
    T(s, title, PAD + i * (fw + 0.24) + 0.12, 1.14, fw - 0.24, 0.32,
      { fontSize: 12, bold: true, color: tc });
    T(s, formula, PAD + i * (fw + 0.24) + 0.12, 1.5, fw - 0.24, 0.5,
      { fontSize: 13, color: C.ink, italic: true, align: "center" });
  });

  // Sources
  R(s, PAD, 2.25, IW, 0.32, C.forest);
  T(s, "References", PAD + 0.1, 2.25, IW - 0.2, 0.32,
    { fontSize: 12, bold: true, color: C.white });

  const refs = [
    "Henry's Clinical Diagnosis and Management by Laboratory Methods, 23rd edition",
    "Goldman-Cecil Medicine (International Edition)",
    "Textbook of Family Medicine, 9th edition",
    "Tietz Textbook of Laboratory Medicine, 7th edition",
    "Quick Compendium of Clinical Pathology, 5th edition",
  ];
  refs.forEach((r, i) => {
    T(s, `${i + 1}.  ${r}`, PAD + 0.06, 2.62 + i * 0.28, IW - 0.12, 0.26,
      { fontSize: 9.5, color: C.muted, italic: true });
  });
}

// ─────────────────────────────────────────────────────────────────────────────
// SLIDE 12 — CLOSING
// ─────────────────────────────────────────────────────────────────────────────
{
  const s = pres.addSlide();
  s.background = { color: C.forest };

  // Decorative elements
  R(s, 0, 0, SW, 0.1, C.gold);
  R(s, 0, SH - 0.1, SW, 0.1, C.gold);
  R(s, 0, 0.1, 0.12, SH - 0.2, C.emerald);

  T(s, "Thank You", 0.5, 0.7, SW - 1, 2.0,
    { fontSize: 68, bold: true, color: C.white, align: "center" });

  R(s, 2.5, 2.8, SW - 5, 0.07, C.gold);

  T(s, "DLC Study Guide  —  Differential Leukocyte Count: Normal vs. Abnormal Patterns",
    0.5, 2.95, SW - 1, 0.5,
    { fontSize: 15, color: C.goldMid, align: "center" });

  T(s, "For educational purposes only  |  Always verify clinical decisions against current guidelines",
    0.5, 4.9, SW - 1, 0.35,
    { fontSize: 10, color: C.muted, align: "center", italic: true });
}

// ─────────────────────────────────────────────────────────────────────────────
// WRITE
// ─────────────────────────────────────────────────────────────────────────────
pres.writeFile({ fileName: "/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide_v3.pptx" })
  .then(() => console.log("Done"))
  .catch(e => { console.error(e); process.exit(1); });
Running Command

cd /home/daytona/workspace/dlc-study-guide && node generate_pptx_v3.js 2>&1 | grep -v '"none"'

Running Command

python3 -c " import zipfile, os path = '/home/daytona/workspace/dlc-study-guide/DLC_Study_Guide_v3.pptx' z = zipfile.ZipFile(path) slides = [n for n in z.namelist() if n.startswith('ppt/slides/slide') and '_rels' not in n] print(f'Slides: {len(slides)} | Size: {os.path.getsize(path):,} bytes') "

Here's your upgraded deck:

DLC Study Guide v3

Presentation · PPTX

(422 KB · 12 slides)

Here's what was upgraded visually:
ElementWhat changed
Title slideLarge "DLC" type with gold rule, "WBC" watermark, left panel split — cinematic feel
Header barDeep forest green + warm gold underline stripe on every content slide
CardsSubtle drop shadows on all cards and tables for depth
Severity badgesStyled with drop shadow + gold bottom edge for polish
Callout notesGold left-icon block + pale gold background instead of plain teal
TablesAlternating white / soft mint rows with thin grey borders, shadow behind each table
Closing slideGold top + bottom border, large "Thank You" centred
Color disciplineForest green dominant · gold as the single accent · rose only for danger · sky blue for secondary cells
TypographyControlled hierarchy: 21pt headers · 12pt body · 9–10pt table cells — nothing competing
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