A New Age of Advanced Volume Microscopy for Protists
Bibliographic record
Abstract
Volume microscopy comprises a broad set of techniques that are indispensable in the characterization of a cell's three-dimensional architecture. In the last few decades, major technological breakthroughs in the fields of light and electron microscopy have spurred a revolution in cell biology. This trend has been accelerating in recent years as the equipment and techniques required to perform advanced microscopy are now widespread and accessible to many core facilities around the world. These powerful tools will advance the protistology field by revealing the 3D architecture of the vast majority of microbial eukaryotes that remain unexplored. In this review, we provide an overview of both historical and emerging volume microscopy technologies, as well as the benefits and drawbacks of different imaging techniques, with emphasis on how the field of protistology can make informed decisions to investigate protist form and function in three dimensions.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".