Comparison of optical coherence tomography profiles for three different wavelengths in the near infrared
Bibliographic record
Abstract
Optical Coherence Tomography is a powerful, noninvasive biomedical technique that uses low coherence light sources to obtain in-depth scans of biological tissues. In this study, we report results obtained with three different sources: a 60 nm bandwidth superluminescent diode with a 1570 nm emission wavelength, a high power broadband fiber source (up to 100 nm bandwidth around 1330 nm wavelength), and a Ti:Sapphire ultrashort-pulsed laser (810 nm emission wavelength and 100 nm maximum bandwidth). Along with enhancement of some details and discontinuities in heterogeneous tissues, characterization of samples using these three wavelengths allows for a more complete description of tissue optical properties, such as attenuation, backscattering, or penetration depth. We will present results obtained in vitro on several samples of biological tissues.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".