<i>IN VIVO</i> MAPPING BRAIN MICROCIRCULATION BY LASER SPECKLE CONTRAST IMAGING: A MAGNETIC RESONANCE PERSPECTIVE OF THEORETICAL FRAMEWORK
Bibliographic record
Abstract
The fundamental limitations of most vascular-based functional neuroimaging techniques are placed by the fact how fine the brain regulates the blood supply system. In vivo mapping of the cerebral microcirculation with high resolution and sensitivity hence becomes unprecedentedly compelling. This paper reviews the theoretical background of the laser speckle contrast imaging (LSCI) technique and attempts to present a complete framework stemming from a simple biophysical model. Through the sensitivity analysis, more insights into the tool optimization are attained for in vivo applications. Open questions of the technical aspects are discussed within this unified framework. Finally, it concludes with a brief perspective of future research in a way analogous to the magnetic resonance imaging (MRI) technique. Such exploration could catalyze their development and initiate a technological fusion for precise assessment of blood flow across various spatial scales.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".