Efficient fluorescence recovery using antifade reagents in correlative light and electron microscopy
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
Correlative light and electron microscopy (CLEM) enables ultrastructural-level analysis of fluorescence-labeled proteins by combining images obtained from both fluorescence and electron microscopies. A technical challenge with the CLEM method is the effective detection of fluorescence from samples embedded in resins, which generally cause fluorescence decay. To overcome this issue, we developed a method for fluorescence recovery of green fluorescent protein (GFP) in resin-embedded semi-thin sections using commercially available antifade reagents. By applying this method, we successfully obtained CLEM images using field-emission scanning electron microscopy with moderately enhanced GFP signals, demonstrating the efficacy of this simple fluorescence recovery method.
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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 | 0.000 | 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 it