Yes. The key idea behind that sentence is not “someone has already done CUBIC on intracranial aneurysms.” It is: A method already proven for 3D imaging of cerebral vessels and brain tissue can potentially be adapted to study the spatial biology of intracranial aneurysms. That distinction is important for your presentation. 1. First: what is the research gap? I would frame it like this: What we already know: * Optical clearing can make relatively large tissue volumes transparent. * Light-sheet fluorescence microscopy can then image those tissues in 3D. * CUBIC and other clearing methods have been used for brain tissue and cerebral vasculature. * 3D imaging has also been applied to vascular pathology in other diseases. * Intracranial aneurysm research already studies endothelialization, inflammation, smooth-muscle cells and extracellular-matrix remodeling. What is less established: The combination of optical clearing + 3D spatial imaging specifically for intracranial aneurysm healing is not yet an established standard methodology. So your project can be presented as a methodological adaptation/proof-of-concept, rather than pretending that there is already a validated IA-clearing protocol. ⸻ 2. Why tissue clearing is useful for aneurysm research Traditional histology gives you something like: Aneurysm → cut into thin sections → stain → microscope You get excellent cellular information, but you are looking at 2D slices. The problem is that an aneurysm is a three-dimensional structure. You might want to know: * Where exactly are endothelial cells located? * Is endothelialization continuous across the aneurysm neck? * Are inflammatory cells concentrated in particular regions? * How are smooth-muscle cells distributed? * How does the extracellular matrix change from the parent artery → neck → dome? With optical clearing: Aneurysm tissue → transparent tissue → 3D fluorescence imaging You can potentially reconstruct the spatial relationships in three dimensions. That is the fundamental reason the approach is interesting. ⸻ 3. Resource #1 — CUBIC The foundational CUBIC protocol is: Susaki et al., Nature Protocols (2015), “Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging.” It describes CUBIC as a method for clearing relatively large tissue volumes, followed by light-sheet imaging and quantitative analysis. Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging⁠ Why this paper matters for your project It establishes the basic conceptual chain: Tissue clearing ↓ large-volume transparent tissue ↓ light-sheet microscopy ↓ 3D reconstruction ↓ quantitative analysis That’s essentially the technology pipeline you want to adapt to IA. ⸻ 4. Resource #2 — CUBIC + cerebral vasculature This is probably one of your most useful papers. Diales Rocha et al., 2019 “Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution.” They used CUBIC and iDISCO+, combined with light-sheet microscopy, to examine intact brain tissue. Importantly for you, they were able to visualize cerebral vasculature in cleared tissue. Full-text paper on PMC⁠ Why it’s relevant Your argument can be: “CUBIC has already demonstrated the ability to make brain tissue sufficiently transparent for 3D visualization of cerebral vasculature. Therefore, we propose adapting this approach to aneurysmal vascular tissue.” That’s a scientifically defensible statement. ⸻ 5. Resource #3 — CUBIC in human vascular tissue This one is especially valuable because it moves beyond animal brain tissue. “CUBIC pathology: three-dimensional imaging for pathological diagnosis” The study demonstrated CUBIC-based 3D imaging in several human tissues, including arterial tissue and tissue from the surface of the human cerebral cortex. They combined clearing with fluorescence labeling and light-sheet fluorescence microscopy. CUBIC pathology: three-dimensional imaging for pathological diagnosis⁠ Why this is important It gives you a stronger bridge: CUBIC → human tissue → arterial tissue → cerebral vascular tissue → 3D imaging Therefore: CUBIC → potentially applicable to IA tissue But again, potentially is the key word. ⸻ 6. Resource #4 — human brain + 3D molecular imaging Another useful paper is: Pesce et al., Communications Biology, 2022 “3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy.” They demonstrated 3D molecular analysis of cleared human brain tissue using light-sheet fluorescence microscopy. 3D molecular phenotyping of cleared human brain tissues with light-sheet fluorescence microscopy⁠ This is useful when your professor asks: “Can this actually be applied to human brain tissue?” The answer is yes—3D molecular phenotyping of cleared human brain tissue has already been demonstrated. The unanswered question is whether the specific IA tissue architecture and disease-associated components can be optimally handled with the same approach. ⸻ 7. Resource #5 — vascular pathology + tissue clearing Another important precedent is: “Three-Dimensional Visualization of Atherosclerotic Vessels by Tissue Clearing and Light-Sheet Fluorescence Microscopy” This work specifically focuses on vascular pathology and uses tissue clearing + light-sheet fluorescence microscopy to visualize vessels in 3D. PubMed record⁠ This is conceptually very useful because atherosclerosis and IA are obviously different diseases, but both involve: vascular wall pathology and complex 3D cellular/structural changes. So it strengthens the argument that clearing can be useful for vascular disease research. ⸻ 8. Resource #6 — cerebral microvasculature Another relevant study is: “3D visualization and quantification of microvessels in the whole ischemic mouse brain using solvent-based clearing and light sheet microscopy.” They used clearing and light-sheet imaging to visualize and quantify cerebral microvessels in 3D. PubMed record⁠ This is useful because it demonstrates that the technology isn’t only for pretty pictures. It can generate quantitative vascular measurements. That’s exactly what you want for your proposed experiment. ⸻ 9. Now connect this to intracranial aneurysm This is where your project becomes interesting. You already have an established biological question: Aneurysm healing particularly: Endothelialization Inflammation ECM remodeling Your clearing/imaging technology would allow you to ask: How are these biological processes spatially organized within the aneurysm? For example: Parent artery │ │ ┌─────┴─────┐ │ NECK │ └─────┬─────┘ │ ╭─────╮ ╭─┤ ├─╮ │ │DOME │ │ ╰─┤ ├─╯ ╰─────╯ Instead of looking at a single histological section, you could theoretically map: CD31 → endothelial cells CD68 → macrophages α-SMA → smooth-muscle cells ECM markers → matrix remodeling throughout this 3D structure. ⸻ 10. Your actual research hypothesis I’d make it: “We hypothesize that successful aneurysm healing is associated with increased endothelial coverage at the aneurysm neck and a spatially distinct inflammatory microenvironment.” Now you have something measurable. ⸻ 11. What would your results actually look like? You could quantify: A. Endothelial coverage For example: CD31-positive area / total aneurysm-neck area × 100 This gives: % endothelial coverage ⸻ B. Macrophage density For example: CD68-positive cells per unit tissue volume ⸻ C. Spatial relationship You could ask: Are CD68+ macrophages closer to regions with poor endothelial coverage? This is much more interesting. You could potentially calculate: CD31 coverage ↔ CD68 density and determine whether they are positively or negatively associated. ⸻ 12. Why light-sheet microscopy? This is important for your presentation. A conventional confocal microscope is excellent for relatively thin optical sections. But if you have a large cleared tissue volume, light-sheet microscopy is attractive because it can image large 3D specimens efficiently. The combination: Cleared tissue + LSFM has already been demonstrated for large-volume brain and vascular imaging. So your proposed workflow becomes: Clearing → labeling → light-sheet imaging → 3D reconstruction → spatial quantification ⸻ 13. But should you choose CUBIC or CLARITY? This is where I would be careful. Don’t say: “CUBIC is proven to be the best for IA.” We don’t have enough direct IA evidence for that. Instead: CUBIC I’d favor it if your priority is: * large-volume imaging * fluorescence * 3D anatomy * quantitative imaging * cerebral vascular visualization There is direct precedent for CUBIC in brain and vascular tissue. CLARITY I’d consider it if your priority is: * detailed molecular labeling * extensive immunostaining * protein preservation * repeated/complex antibody-based analysis Solvent methods I’d consider them if: * rapid clearing is a major priority * whole-organ/large-volume imaging is needed * fluorescence preservation is less important For your specific proposed IA project, I’d put CUBIC first, but explicitly describe it as a proposed adaptation. ⸻ 14. Your strongest presentation structure I would make your presentation: Title Adapting Optical Tissue Clearing and Light-Sheet Microscopy for 3D Spatial Mapping of Intracranial Aneurysm Healing Background IA healing involves: Endothelialization + inflammation + ECM remodeling Problem Traditional histology provides mostly 2D information. Existing technology CUBIC has enabled 3D imaging of brain, cerebral vasculature and human vascular tissues. Research gap The application of this type of 3D spatial approach specifically to IA healing is not yet an established routine method. Hypothesis Successful healing will show: ↑ endothelialization and potentially ↓/redistributed inflammation Proposed experiment IA tissue ↓ CUBIC ↓ CD31 + CD68 + α-SMA/ECM labeling ↓ Light-sheet microscopy ↓ 3D reconstruction ↓ Spatial quantification Main outcomes 1. Endothelial coverage % 2. Macrophage density 3. Spatial distribution 4. Relationship between endothelialization and inflammation ⸻ ⭐ The key sentence I’d use in front of your professor “Rather than claiming that CUBIC is already an established clearing method for intracranial aneurysms, we propose adapting a validated clearing and light-sheet imaging strategy used for cerebral and vascular tissues to investigate the three-dimensional spatial organization of aneurysm healing.” That is much stronger scientifically because you’re clearly separating what the literature has demonstrated from what your proposed study would investigate. The resources I’d prioritize reading 1. CUBIC protocol — understand the actual technology. 2. CUBIC + cerebral vasculature — closest brain/vascular precedent. 3. CUBIC pathology — human vascular tissue precedent. 4. Human brain 3D molecular phenotyping — supports the spatial-biology concept. 5. 3D vascular pathology — supports applying clearing to diseased vessels. 6. Whole-brain microvascular clearing — supports quantitative 3D vascular analysis. If this is for your summer-school presentation, I would not make “CUBIC” the research novelty. I’d make the novelty 3D spatial characterization of aneurysm healing, with CUBIC being the technological platform.