Contributions of Microscopy to the Morphological Characterization of the Male Genitalia of <i>Toxomerus politus</i> (Diptera, Syrphidae)
Bibliographic record
Abstract
ABSTRACT The study of insects has historically been linked to the development of microscopy. As techniques have improved, research into insect morphology can increasingly contribute to a better understanding of the structures and functions of the morphological characters of insects' three tagmata. We propose the use of methodologies applied in microscopy as a way of improving and facilitating the study of the morphological characters of fly genitalia. In addition, flies preserved in 70% alcohol were used to verify the feasibility of distinguishing ultrastructural characters in the spermatozoa, when not previously fixed for the preservation of morphological structures. We have shown that it is viable to enhance preservation of specimens using a scanning electron microscopy technique. In addition, the observation of genitalia using this technique, together with confocal laser scanning microscopy, enables better visualization, description, and understanding of the morphological characteristics of fly genitalia. We also noted, in analysis using transmission electron microscopy, that it is possible to recover and describe some morphological features of the ultrastructure of Toxomerus politus (Say, 1823) sperm, obtained from flies stored in 70% alcohol for a long period of time. Comparison between the methods used to investigate the structures of T. politus , observed after preserving the specimen, already demonstrates the importance of using appropriate methodology as a starting point for reliable results. The methodologies and techniques adopted in this work have the potential to be extrapolated to research into other species of flies and other insects in a broad context.
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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".