Deep illumination angular domain imaging within highly scattering media enhanced by image processing
Bibliographic record
Abstract
Deep Illumination Angular Domain Imaging employs a micromachined angular filter array to detect photons emitted from the scattered light created by a laser source aimed deep beneath the turbid medium surface. As this source light is scattered, a ball of illumination is formed within the medium. This deep illumination source emits scattered light in all directions and illuminates objects near the surface from behind. When photons from this illumination ball pass an object and reach the angular filter, light that was not subsequently scattered, passes through to a camera detector whereas scattered photons are rejected by the filter. The angular filter consists of an array of high-aspect ratio channels fabricated via silicon bulk micromachining. Under illumination by an argon ion (488-514 nm) laser, two-dimensional phantom test objects were observed in high scattering media up to 3 mm deep in the medium at effective scattering coefficients, μ<sub>seff</sub> up to 5.8 cm-1. Scan results are reconstructed and enhanced using various image processing techniques to enhance the spatial image resolution and image contrast and to reduce noise.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".