Streamlined Liquid-Phase Electron Microscopy: Engineered Nanocontainers and Air-Free Loading for High-Resolution Imaging of Biospecimens
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
Abstract Liquid-phase electron microscopy has emerged as an advanced technique for observing dynamic phenomena in liquids at near-atomic spatial resolution. A newly developed technique offers an easier, faster, and more reproducible way to prepare liquid samples for transmission electron microscopy. Herein, we introduce proprietary nanocontainers and an air-free sample loading method that have significantly simplified the preparation of in-liquid specimens through straightforward drop-casting. By demonstrating this technique with ultrathin windows, we successfully imaged low-contrast vesicles and plasmid DNA. Our approach simplifies usage and enhances throughput and reproducibility, thereby lowering the entry barrier to this rapidly growing field.
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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