Quantitative Mapping of the Orientation of Fibroin β-Sheets in <i>B. </i><i>m</i><i>ori </i>Cocoon Fibers by Scanning Transmission X-ray Microscopy
Bibliographic record
Abstract
The spatial distribution of the linear dichroic signal associated with aligned beta-sheets in a microtomed section of a Bombyx mori cocoon silk fiber was derived from scanning transmission X-ray microscopy (STXM). The intense C 1s --> pi(amide) peak at 288.25 eV was found to have negligible dichroic signal in transverse sections but a large dichroic signal in longitudinal sections. This is consistent with other measurements of the orientation of the aligned beta-sheets in silk fibers, in particular with those obtained by polarized Raman microspectroscopy to which our results are compared. When the dichroic signal strength is mapped at better than 100 nm spatial resolution, microscopic variations are found. Although the magnitude of the dichroic signal changes over a fine spatial scale, the direction of the maximum signal at any position does not change. We interpret the spatial variation of the intensity of the dichroic signal as a map of the quality of local orientation of the beta-sheets in the fiber. At sufficiently high magnification and resolution, this technique should image individual beta-sheet crystallites, although the present implementation does not achieve that. A map of the orientation parameter P(2) is derived. The average value of P(2) (-0.20 +/- 0.04) from STXM is smaller than that derived from the analysis of the amide I band in polarized Raman spectra (-0.41 +/- 0.03). This deviation is attributed to the fact that the STXM results also include the signal from unaligned regions of the protein.
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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 | 0.000 | 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) | 0.001 | 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".