Collagen Biomechanics in Cerebral Arteries and Bifurcations Assessed by Polarizing Microscopy
Bibliographic record
Abstract
Collagen is the main matrix protein of the artery wall. We have used the known correlation between collagen birefringence and its mechanical properties to assess the wall structural integrity in brain arteries and their bifurcation regions, which are the sites of formation of saccular aneurysms. Segments of 28 brain arteries, including bifurcations, were pressure fixed and sectioned in one of three orthogonal planes. Measurements were taken by polarizing microscopy of the birefringence of collagen fibers at the apex of bifurcations and in the main layers of the artery wall - adventitia, media and intima. Dimensional data were obtained of the layers in order to estimate wall properties. Along the apex of the flow divider we measured a narrow band of collagen (birefringence 30% higher than the adjacent adventitia) providing strength and stiffness in that region. There is a thin cell-free outer layer of the tunica media (mean thickness 11 microm) comprised of densely packed coaligned collagen with high birefringence. From the fiber birefringence and directional alignment of the individual layers we calculated that the adventitia contributes about one third of circumferential and almost all of longitudinal strength of intracranial arteries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".