The development and validation of ultra-thin-film micro-outlet devices for spatially constraining local O₂ perturbations to capillaries
Bibliographic record
Abstract
Several local mechanisms for oxygen concentration [O₂] sensing and blood flow regulation in the microvasculature have been proposed, but existing evidence fails to account for the sensitivity of vascular responses in specific vessels across the physiological range of tissue [O₂]. We hypothesize that oxygen-mediated blood flow regulation is initiated at the capillary level through oxygen saturation-dependent ATP release from erythrocytes. The purpose of this thesis was to develop and validate a thinfilm micro-outlet device that can impose spatially constrained O₂ perturbations at the capillary level to precisely target capillary level regulation. The device was fabricated using soft lithography techniques and high-precision laser cutting. Devices were lasermachined into polyvinylidene chloride film and spun coat with a 100-micrometer thick layer of polydimethylsiloxane. Rats were anesthetized via intraperitoneal injection of sodium pentobarbital; catheters were introduced into the carotid artery for systemic cardiovascular monitoring and jugular vein for supplemental fluids. The extensor digitorum longus (EDL) muscle was blunt dissected, isolated, and reflected over a microfluidic gas exchange chamber (GEC) mounted in the stage of an inverted microscope. The GEC and EDL were coupled with micro-outlet devices of various designs (diameters: 200, 400, 600, 1000 am). [O₂] in the EDL was dynamically manipulated by imposing [O₂] oscillations while recording intravital video. Our novel composite thin-film micro-outlet devices spatially confined oxygen perturbations to capillaries. Our results demonstrate that our devices can profoundly manipulate capillary SO₂ and simultaneously alter the hemodynamics in vessels directly overlying the micro-outlet without affecting capillary SO₂ at distances greater than 100 μm from the edge of the micro-outlets. All animal protocols were approved by Memorial University’s Institutional Animal Care Committee.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".