Optical Coherence Tomography of the Corn Snake (Pantherophis guttatus) Eye: An Exploratory Study
Bibliographic record
Abstract
Abstract The aim of this exploratory study was to capture images of the anterior and posterior segments of the corn snake eye using spectral-domain optical coherence tomography (OCT). Postmortem OCT scans were conducted on three euthanized corn snakes ( Pantherophis guttatus ), followed by a histological examination of their eyes. OCT findings were correlated with histology to identify anterior and posterior ocular structures, and to delineate retinal layers on OCT. Total retinal thickness (RT) was manually measured every 360 μm from the edge of the optic disc over a 3,600-μm distance in the dorsal and ventral quadrant of each snake. In the anterior segment of the eye, OCT imaging successfully identified the spectacle, cornea, iris, lens, and Schlemm’s canal. The posterior segment scans revealed a vestigial conus papillaris and retinal folds adjacent to the optic nerve head, which were confirmed by histology. The membrana vasculosa was distinguishable from the surrounding retina, and despite some limitations in image resolution, retinal layers were discernible. There was a positive correlation between the total RT and the distance from the optic disc (with the retina being thicker farther from the optic disc). Additionally, the total RT in the ventral quadrant was significantly lower than in the dorsal quadrant. OCT imaging effectively identified various anatomical features and retinal layers of the corn snake’s eye. To establish comprehensive OCT references for the posterior segment of the eye, further studies involving healthy, living snakes are needed.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".