Super‐Resolution Tension PAINT Imaging with a Molecular Beacon
Bibliographic record
Abstract
DNA-PAINT enabled super-resolution imaging through the transient binding of fluorescently-labelled single-stranded DNA (ssDNA) imagers to target ssDNA. However, its performance is constrained by imager background fluorescence, resulting in relatively long image acquisition and potential artifacts. We designed a molecular beacon (MB) as the PAINT imager. Unbound MB in solution reduces the background fluorescence due to its natively quenched state. They are fluorogenic upon binding to target DNA to create individual fluorescence events. We demonstrate that MB-PAINT provides localization precision similar to traditional linear imager DNA-PAINT. We also show that MB-PAINT is ideally suited for fast super-resolution imaging of molecular tension probes in living cells, eliminating the potential of artifacts from free-diffusing imagers in traditional DNA-PAINT at the cell-substrate interface.
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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 | 0.000 | 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 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".