Examination of Collagen Structure and State by the Second Harmonic Generation Microscopy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Collagen is the major component of the extracellular matrix in mammals and its characteristics provide important information about the state of connective tissue. There are only few methods of label-free visualization of collagen fibers; the most frequently used is the second harmonic generation (SHG) microscopy. SHG microscopy is a non-invasive technique for the assessment of the abundance and structure of fibrillar collagen with a high resolution and specificity. At constant measurement parameters (magnification, excitation power, resolution, digital gain of registration matrix), quantitative analysis of SHG images provides a reliable characterization of collagen state. Current approaches to the SHG signal quantification are numerous and typically should be adapted to a specific task. In this review, we systematize the variety of these approaches and present the examples of biomedical application of the SHG signal quantitative analysis, as well of combined application of SHG and autofluorescence imaging.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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