VasoTracker 2: Open‐source software and hardware for tracking blood vessel diameter and assessing vascular function
Bibliographic record
Abstract
VasoTracker 2 is a collection of open-source tools for blood vessel diameter measurement and vascular physiology research, featuring automated diameter tracking software and low-cost myography hardware components. This blood vessel analysis platform addresses the need for accessible alternatives to expensive commercial vascular imaging systems by providing comprehensive tools for studying vessel reactivity and endothelial function. The software enables multipoint diameter tracking in branched vessels using advanced edge detection algorithms, supporting brightfield microscopy, fluorescence imaging and ultrasound recordings. Automated pressure protocols enable standardized myogenic tone experiments, and both real-time and offline analysis of pre-recorded data are supported. The platform's versatility allows researchers to study vascular dynamics across diverse experimental conditions, from isolated vessel preparations to in vivo imaging applications. For ex vivo applications, VasoTracker 2 includes modular, low-cost open-source pressure myograph hardware: a confocal-compatible vessel chamber and a programmable pressure controller, VasoMoto. These components enable construction of a complete pressure myograph system at a significantly reduced cost compared to commercial alternatives. The hardware integrates seamlessly with the diameter measurement software.VasoTracker 2 provides free software and low-cost hardware for vessel diameter analysis, broadening access to advanced vascular research tools. The platform's open-source nature allows researchers to modify and extend the system for specific applications. This flexibility, combined with significant cost savings, benefits vascular researchers worldwide. KEY POINTS: VasoTracker 2 is an open-source platform that combines versatile vessel diameter tracking software with modular low-cost hardware components for vascular physiology research. The software enables multipoint diameter analysis across brightfield, fluorescence and ultrasound imaging modalities. The hardware includes a confocal-compatible vessel chamber and programmable pressure controller (VasoMoto) that can be assembled into a complete pressure myograph system. The open-source approach provides researchers with accessible tools for advanced vascular physiology experiments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.013 |
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".