Dissection and Immunolabeling of the Central and Peripheral Nervous System of<i>Drosophila</i>Larvae
Bibliographic record
Abstract
The ability to visualize the cells and proteins of a tissue within their original context (i.e., in vivo) is invaluable for the study of that biological system. Visualization is especially important in tissues with complex and convoluted structures, such as the neurons and glia of the nervous system. The central and peripheral nervous systems (CNS and PNS, respectively) of the third-instar larvae of the fruit fly, Drosophila melanogaster , are found on the ventral side of the larvae and are overlaid by the rest of the body tissues. Careful removal of overlying tissues while not damaging the delicate structures of the CNS and PNS is essential for proper visualization of these tissues. This protocol describes the dissection of Drosophila third-instar larvae into fillets and their subsequent immunolabeling to visualize endogenously tagged or antibody-labeled proteins and tissues in the fly CNS and PNS.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".