Imaging tissue microstructure and microvasculature with Doppler Optical Coherence Tomography: 3-dimensional flow phantom study
Bibliographic record
Abstract
Time domain Doppler optical coherence tomography (DOCT) is a promising non-invasive imaging system with high spatial (~20μm) and velocity resolution (~20μm/s) that can image microvascular blood flow. It is important to understand and account for the complicated 3D nature of small blood vessels. To address this problem, two realistic flow phantoms were designed with known geometries -- an occluded flow path to model vessel narrowing, and a Y-bifurcation to simulate vessel branching. The current DOCT system produces 2D images, which when stacked sequentially can yield 3D images of microstructure and perfusion-level blood flow. 3D reconstructions allow the investigation of internal flow profiles, including an abrupt stenosis in the occluded phantom. This research will help guide our image interpretation of in-vivo DOCT studies, including treatment response monitoring in animal tumours and endoscopic assessment of the human GI tract.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".