Proof-of-principle demonstration of a Mueller matrix decomposition method for polarized light tissue characterization in vivo
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Bibliographic record
Abstract
We demonstrate the first in vivo use of a Mueller matrix decomposition method for polarization-based characterization of tissue. Collagenase is injected into a region of dermal tissue in a dorsal skin window chamber in a nude mouse to alter the structure of the extracellular matrix. Mueller matrices for polarized light transmitted through the window chamber in the collagenase-treated region, as well as a distal control region, are measured. From the measured matrices, the individual constituent polarization properties of the tissue are extracted through polar matrix decomposition. Large decreases in birefringence and depolarization are seen in the collagenase-treated region due to the destruction of collagen, showing the potential for this method to monitor the organization and structural anisotropy of tissue. This study represents the first in vivo demonstration of a Mueller matrix decomposition method for polarimetric tissue characterization.
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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) | 0.000 | 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 it