Hematoxylin shortages: their causes and duration, and other dyes that can replace hemalum in routine hematoxylin and eosin staining
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
The origins of repeated hematoxylin shortages are outlined. Lack of integration in the hematoxylin trade exacerbates the problems inherent in using a natural product. Separate corporations are engaged in tree growth and harvesting, dye extraction, processing of extracts to yield hematoxylin, and formulation and sale of hematoxylin staining solutions to the end users in biomedical laboratories. Hematoxylin has many uses in biological staining and no single dye can replace it for all applications. Probably, the most satisfactory substitutes for aluminum-hematoxylin (hemalum) are the ferric complexes of celestine blue (CI 51050; mordant blue 14) and eriochrome cyanine R (CI 43820; mordant blue 3, also known as chromoxane cyanine R and solochrome cyanine R). The iron-celestine blue complex is a cationic dye that binds to nucleic acids and other polyanions, such as those of cartilage matrix and mast cell granules. Complexes of iron with eriochrome cyanine R are anionic and give selective nuclear staining similar to that obtained with acidic hemalum solutions. Iron complexes of gallein (CI 45445; mordant violet 25), a hydroxyxanthene dye, can replace iron-hematoxylin in formulations for staining nuclei, myelin, and protozoa.
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) | 0.000 | 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 | 0.001 | 0.001 |
| 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