ABRF Light Microscopy Research Group Study 3: The Development and Implementation of New Tools for Microscope Quality Assurance Testing
Bibliographic record
Abstract
The goal of this study was to create a 3D biologically-relevant standard test sample and imaging protocol which would allow a microscopist to evaluate the performance of their imaging system as a function of imaging depth in the following areas: (1) system resolution and point spread function quality in 3D, (2) reliability of intensity quantification, and (3) image signal-to-noise. We developed two test samples that each consist of a mixture of fluorescence microspheres embedded in a 100µm-thick layer of CyGel, a thermo-reversible 3D cell growth media with refractive index of 1.37. We will present a summary of our methodology and quantitative analysis of approximately 140 laser scanning confocal datasets collected from over 50 participants across 15 countries and including instruments from four major microscope manufacturers. The results show some interesting and unexpected trends and provide tools and benchmarks that investigators can use to evaluate systems at their own institutions.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".