In situ calcium mapping in the mouse retina via time-of-flight secondary ion mass spectrometry: modulation of retinal angiogenesis by calcium ion in development and oxygen-induced retinopathy
Bibliographic record
Abstract
Pathological angiogenesis in the eye is the most common cause of blindness in all age groups. In physiological and pathological cellular processes including angiogenesis, ion homeostasis is greatly affected. This study is to investigate the role of calcium ion in physiological and pathological angiogenesis in the retina, which is based on the results of ion mapping by time-of-flight secondary ion mass spectrometry (TOF-SIMS). We provided that calcium distribution is the most accordant to change with physiological vessel formation of development in the retina and pathological angiogenesis of oxygen-induced retinopathy (OIR), which is supported by ion mapping in retinal tissue using TOF-SIMS. In addition to anti-proliferative and anti-angiogenic activity of the calcium inhibitor on endothelial cells, retinal neovascularization of OIR was effectively inhibited by the calcium inhibitor. Calcium ion could play a crucial role in physiological and pathological angiogenesis in the retina. Moreover, TOF-SIMS could be a good method to simultaneously evaluate the changes of variable ions of the retina in biological processes.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".