An Improved Processing Method for Breast Whole-Mount Serial Sections for Three-Dimensional Histopathology Imaging
Bibliographic record
Abstract
To develop and validate improved processing methods for producing diagnostic-quality, whole-mount serial sections for 3-dimensional imaging of whole-breast histopathologic studies, we subjected 4-mm-thick whole-specimen slices to a 38-hour microwave-assisted protocol. Morphologic features, antigenicity, and tissue shrinkage were evaluated. A schedule using the tissue processor was optimized by evaluating the serial section yield for 3 schedules. The microwave-based processing schedule is adequate for producing diagnostic-quality whole-mount breast serial sections of an area up to 6,000 mm(2) and is compatible with a variety of immunohistochemical stains. A mean +/- SE total tissue shrinkage of 8.4% +/- 0.2% resulted. For the tissue processor, optimal results are obtained using a 59-hour schedule. Total fixation and processing time for whole-mount serial breast sections has been reduced from 21 days to 38 hours, with microwave assistance, and to 59 hours without. No adverse effects of microwaves on morphologic features, antigenicity, or gross tissue dimensions were observed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".