Disorder in collagen at the tumor boundary investigated with double Stokes-Mueller polarimetric microscopy
Bibliographic record
Abstract
Collagen has hierarchical structure and often undergoes remodeling at the tumor margin [1]. Polarimetric second harmonic generation (SHG) microscopy can be used to investigate changes in the collagen structure and provide insight into the metastatic progression of cancer. In this work, we apply double Stokes-Mueller polarimetry (DSMP) to investigate the disorder of collagen at the tumor margin. The disorder is analyzed at several levels of spatial organization – texture analysis (gray level co-occurrence matrix (GLCM) method) is applied at the microscopic tissue organizational level, while ultrastructure is analyzed with DSMP to obtain nonlinear susceptibility tensor for each image voxel. This allows to comprehensively investigate the changes occurring in collagen during tumor progression. [1] Winkler, J. et al., “Concepts of extracellular matrix remodelling in tumour progression and metastasis”, Nat Commun 11, 5120 (2020).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".