High resolution line-field SD-OCT with 2.5 kHz frame rate for cellular resolution imaging of biological tissue
Bibliographic record
Abstract
A line-field, spectral domain optical coherence tomography (LF-SD-OCT) system was developed for in-vivo, noncontact, cellular resolution imaging of biological tissue. The LF-SD-OCT system utilizes a broadband laser with a spectrum centered at ~790 nm and spectral bandwidth of ~140 nm to achieve 1.8 μm axial and ~5 μm isotropic lateral resolution in biological tissue. A high speed 2D camera was used to achieve frame rate of 2.5k B-scans/s. The system’s SNR was measured to be 92 dB at 100 μm away from the zero-delay line for 2.8 mW optical power incident on the imaged object, with 18 dB roll-off over a scanning range of 1 mm. The LF-SD-OCT system was used to image the cellular structure of cucumber and the cucumber seed where the high spatial resolution was sufficient to resolve cellular nuclei. Then the system was used to image in-vivo human skin (fingertip), where the spiral structures of the sweat glands, as well as a large number of capillaries were observed in the epidermal layer. Images of the healthy human cornea were also acquired from locations near the corneal apex and the periphery and showed the tissue cellular structure and vasculature. Currently, the corneal images were acquired ex-vivo, as we are waiting for ethics clearance to conduct in-vivo corneal imaging studies with the novel LF-SD-OCT system.
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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 | 0.000 | 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 | 0.000 |
| 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".