Red Blood Cell Flux in Isolated Capillary Bifurcations
Bibliographic record
Abstract
Capillary red blood cell (RBC) flux is the most important determinant of oxygen delivery to tissue. Simultaneous experimental measurement of flow throughout a microvascular network is impractical and necessitates predicting flow using computer simulations. Our existing model uses an empirically derived bifurcation rule (Pries et al., 1989) to determine RBC distribution between daughter branches. Our objective is to validate the existing model of microvascular blood flow on capillary networks versus in vivo measurements. Capillary networks in rat skeletal muscle were recorded and 4 capillary bifurcations were randomly selected for analysis (diameter 5.9±0.27 ?m, segment length 107.7±28.8 ?m) . Custom vascular mapping software was used to reconstruct the real geometry of each bifurcation. Each capillary was analyzed to measure RBC velocity, tube hematocrit and RBC flux. The error in measured RBC flux in the parent compared to the sum of daughters was 1.9±8.3%. Discrete fluctuations of cell distribution over time were seen to have a significant impact on measured flux fraction (FF). Measured RBC FF in the higher flow daughters were 9±6.3% lower than the bifurcation rule predicted at equivalent flow rates. The stochastic nature of the bifurcation rule makes precise predictions of RBC distribution difficult where alternating cells paths can drastically impact measured FF. Supported by CIHR grant to DG and CGE.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".