Time-resolved imaging of optical coefficients through murine chest cavities
Why this work is in the frame
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Bibliographic record
Abstract
As small animal optical imaging and tomography are gaining popularity for interrogating functional and molecular events in vivo, it becomes increasingly necessary to gain knowledge of the optical properties of the species investigated to better understand and describe photon propagation through their tissues. To achieve characterization of the spatial variation of average optical properties through murine chest cavities, time- and spatially resolved measurements of femto-second laser pulse transmission are performed through mice using a high-speed gated image intensifier. Application of time-resolved diffusion theory for finite slab geometry is first confirmed on phantoms and then applied to in vivo measurements for spatially resolving and quantifying mouse optical properties. Photon transmission images through mouse chest cavities are further obtained at different time gates to visualize the spatial variation observed and confirm the optical coefficient patterns calculated.
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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) | 0.001 | 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 | 0.001 |
| 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 it