Explain the file of this physiology chapter in an easy way.
python3 -c " import pdfplumber pdf_path = '/tmp/workspace/attachments/344fb70a-8681-4318-9cef-d000fc400200/1st YEAR PHYSIOLOGIST SYLLABUS CHAPTER NAME FORMATION OF BLOOD CELLS; BONE MARROW (1).pdf' with pdfplumber.open(pdf_path) as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() print(f'\\n=== PAGE {i+1} ===') print(text) "
python3 -c " from pypdf import PdfReader import base64 pdf_path = '/tmp/workspace/attachments/344fb70a-8681-4318-9cef-d000fc400200/1st YEAR PHYSIOLOGIST SYLLABUS CHAPTER NAME FORMATION OF BLOOD CELLS; BONE MARROW (1).pdf' reader = PdfReader(pdf_path) print(f'Pages: {len(reader.pages)}') for i, page in enumerate(reader.pages): text = page.extract_text() if text and text.strip(): print(f'Page {i+1} has text: {text[:200]}') else: print(f'Page {i+1}: image-only or empty') # Check for images if '/XObject' in page['/Resources']: xobj = page['/Resources']['/XObject'] print(f' -> {len(xobj)} XObject(s)') "
python3 -c " from pypdf import PdfReader from PIL import Image import io, os pdf_path = '/tmp/workspace/attachments/344fb70a-8681-4318-9cef-d000fc400200/1st YEAR PHYSIOLOGIST SYLLABUS CHAPTER NAME FORMATION OF BLOOD CELLS; BONE MARROW (1).pdf' out_dir = '/tmp/workspace/blood_cells_pages' os.makedirs(out_dir, exist_ok=True) reader = PdfReader(pdf_path) for i, page in enumerate(reader.pages): resources = page['/Resources'] if '/XObject' in resources: xobjects = resources['/XObject'] for name, obj in xobjects.items(): xobj = obj.get_object() if xobj.get('/Subtype') == '/Image': data = xobj.get_data() color_space = xobj.get('/ColorSpace', '') width = xobj.get('/Width') height = xobj.get('/Height') bits = xobj.get('/BitsPerComponent', 8) filter_type = xobj.get('/Filter', '') # Try to open as image try: img = Image.open(io.BytesIO(data)) img_path = f'{out_dir}/page_{i+1:02d}.png' img.save(img_path) print(f'Page {i+1}: saved {img_path} ({width}x{height})') except Exception as e: # Try raw mode try: if 'RGB' in str(color_space): mode = 'RGB' elif 'Gray' in str(color_space) or 'grey' in str(color_space).lower(): mode = 'L' else: mode = 'RGB' img = Image.frombytes(mode, (width, height), data) img_path = f'{out_dir}/page_{i+1:02d}.png' img.save(img_path) print(f'Page {i+1}: saved raw {img_path}') except Exception as e2: print(f'Page {i+1}: FAILED - {e} / {e2}, filter={filter_type}') print('Done') "
python3 -c " import subprocess result = subprocess.run(['python3', '-c', 'import pytesseract; print(pytesseract.__version__)'], capture_output=True, text=True) print('pytesseract:', result.stdout.strip(), result.stderr.strip()) result2 = subprocess.run(['which', 'tesseract'], capture_output=True, text=True) print('tesseract binary:', result2.stdout.strip(), result2.stderr.strip()) "
python3 -c " from PIL import Image import os in_dir = '/tmp/workspace/blood_cells_pages' out_dir = '/tmp/workspace/blood_cells_small' os.makedirs(out_dir, exist_ok=True) for i in range(1, 12): fname = f'page_{i:02d}.png' in_path = f'{in_dir}/{fname}' out_path = f'{out_dir}/{fname}' img = Image.open(in_path) # Resize to max width 600px keeping aspect ratio w, h = img.size new_w = 600 new_h = int(h * new_w / w) img_resized = img.resize((new_w, new_h), Image.LANCZOS) img_resized.save(out_path, optimize=True, quality=80) size = os.path.getsize(out_path) print(f'Page {i}: {new_w}x{new_h}, {size} bytes') "
python3 -c " from PIL import Image import os in_dir = '/tmp/workspace/blood_cells_pages' out_dir = '/tmp/workspace/blood_cells_tiny' os.makedirs(out_dir, exist_ok=True) for i in range(1, 12): fname_in = f'page_{i:02d}.png' fname_out = f'page_{i:02d}.jpg' in_path = f'{in_dir}/{fname_in}' out_path = f'{out_dir}/{fname_out}' img = Image.open(in_path).convert('RGB') w, h = img.size new_w = 400 new_h = int(h * new_w / w) img_resized = img.resize((new_w, new_h), Image.LANCZOS) img_resized.save(out_path, 'JPEG', quality=70) size = os.path.getsize(out_path) print(f'Page {i}: {new_w}x{new_h}, {size} bytes') "
| Stage of Life | Main Site |
|---|---|
| Embryo (early) | Yolk sac |
| Fetus (3rd-7th month) | Liver and Spleen |
| After birth onwards | Bone marrow (main site) |
| Adult life | Bone marrow of the skull, pelvis, spine, sternum, upper arms, ribs, thigh bones |
Key point: Liver and spleen are backup sites. After birth, the bone marrow takes over as the only important site. If the body desperately needs more blood cells (like in severe anaemia), the liver and spleen can kick back in - this is called extramedullary haematopoiesis.
Stem Cells (self-replicating, totipotential)
โ
Progenitor Cells (committed to one path)
โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ โ โ โ
Erythroid Megakaryocytic Myeloid Monocyte Lymphoid
(RBCs) (Platelets) series series (T,B cells)
| Stage | Key Features |
|---|---|
| Pro-erythroblast | Largest cell; round with fine chromatin; little haemoglobin yet |
| Basophil erythroblast | Smaller; nucleus has dark chromatin; cytoplasm deeply blue (basophilic = loves blue stain) due to lots of RNA |
| Polychromatic erythroblast | Mix of blue and pink in cytoplasm; haemoglobin starts appearing |
| Orthochromatic (normoblast) | Mostly pink cytoplasm; nucleus gets very dense and dark, then extruded (pushed out) |
| Reticulocyte | No nucleus; still has some RNA network; enters bloodstream; matures in a few days |
| Mature Erythrocyte | Fully mature red blood cell; biconcave disc; ~7-8 ยตm diameter; full of haemoglobin; lifespan ~120 days |
Simple memory trick: "Pro โ Baso โ Poly โ Ortho โ Reticulo โ Mature RBC" - each step = less nucleus, more haemoglobin!
Myeloblast โ Promyelocyte โ Myelocyte โ Metamyelocyte โ Band form โ Segmented (mature)
| Feature | T cells | B cells |
|---|---|---|
| % of peripheral blood lymphocytes | 42-74% | 24-37% |
| Immunological memory | Yes | Yes |
| Helper/suppressor activity | Yes (CD4/CD8) | No |
| Antibody production | No | Yes |
| Location in lymph nodes | Paracortical regions | Germinal centres / medullary cords |
| Cell type | % of total cells |
|---|---|
| Granulocytic series | ~55% |
| Erythroid series | ~25% |
| Lymphocytes | ~15-24% |
| Monocytes | 0-0.8% |
| Megakaryocytes | 0-0.6% |
When is a "dry tap" (failed aspiration)? When marrow is fibrotic (myelofibrosis) or packed with cells (leukaemia) - no liquid can be aspirated. You need a trephine biopsy in that case.