Dramatic Decrease in CEST Measurement Times Using Multi‐Site Excitation
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Chemical exchange saturation transfer (CEST) has recently evolved into a powerful approach for studying sparsely populated, “invisible” protein states in slow exchange with a major, visible conformer. Central to the technique is the use of a weak, highly selective radio‐frequency field that is applied at different frequency offsets in successive experiments, “searching” for minor state resonances. The recording of CEST profiles with enough points to ensure coverage of the entire spectrum at sufficient resolution can be time‐consuming, especially for applications that require high static magnetic fields or when small chemical shift differences between exchanging states must be quantified. Here, we show – with applications involving 15 N CEST – that the process can be significantly accelerated by using a multi‐frequency irradiation scheme, leading in some applications to an order of magnitude savings in measurement time.
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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) | 0.001 | 0.001 |
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