Serial OCT reveals age-dependent cardiac fiber orientation change (Conference Presentation)
Bibliographic record
Abstract
Aging is accompanied by complex structural changes in the heart. To explore this remodeling, we used a serial optical coherence tomography scanner to image the entire heart at a microscopic resolution. The imaging platform combines optical coherence microscopy to vibratome sectioning to automatically image every subsection of the sample. Post-processing algorithms were then used to stitch back together the sample in a large 3D dataset. We imaged the heart of 7 young (4 months) and 5 old (24 months) wildtype mice (C57B16) with the imaging platform. Optical coherence tomography of the myocardium reveals myofiber orientation that changes linearly from the endocardium to the epicardium. This change in orientation also varies with the distance from the apex of the heart : close to the apex, the change in myofiber orientation with respect to wall depth is larger. In old mice, this change was lower when compared to young mice due to remodelling. As reported in other works, the average volume of old mice hearts (97 ± 3 mm3) was significantly larger (p<0.05) when compared to young hearts (87 ± 3 mm3). Myocardial wall thickening was accompanied by a reduction of light attenuation in the endocardium. Attenuation coefficient in old mice endocardium was measured at 15.4 ± 0.4 cm-1, compared to 18.6 ± 0.5 cm-1 in young mice, which was significantly lower (p<0.05). The use of a serial optical coherence tomography allows new insight into fine changes of the whole heart.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".