Two‐photon microscopy of healthy, infarcted and stem‐cell treated regenerating heart
Bibliographic record
Abstract
Two-photon excitation autofluorescence (produced in myocytes) and second-harmonic generation (produced mainly by collagen) allow label-free visualization of these two important components of myocardium. Because of their different emission wavelengths, these two signals can be separated spectrally. Here, we examine two-photon microscopy images of healthy, infarcted and stem-cell treated rat hearts. We find that in infarcted heart, regions distant from the site of infarct are similar to healthy tissue in composition (mostly myocytes, very little collagen) and organization (densely packed myocytes), but infarct regions are characterized by sparse myocytes and high collagen content indicative of scar tissue formation. Stem cell treated hearts, in contrast, show regions of intertwined myocytes and collagen throughout the infarct, suggesting reduced tissue damage. Finally, these results offer interesting insights into our ongoing polarized light studies of cardiac tissue anisotropy, and reveal that both tissue composition and tissue micro-organization are reflected in polarization-measured linear retardance values.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".