Dual‐Polarization Imaging of a Dual‐Fluorophore Ion Sensor: A Single‐Molecule Study
Bibliographic record
Abstract
The fluorescence emission of the dual-fluorophore Ca(2+) ion sensor molecule, calcium-green 2 (CG-2), has been characterized using dual-polarization imaging at the single-molecule level. By comparing the fluorescence intensity of individual CG-2 molecules in two mutually orthogonal polarization image channels, information about the relative orientation of the two constituent fluorophores in the molecule is obtained. Experimental results from polarization measurements are compared with those predicted from a geometric model based on coupled-fluorophores that are randomly distributed in space. The results confirm previous optical spectroscopy-based predictions of the orientation of CG-2's fluorophores, and the general applications of this dual-polarization imaging approach for characterizing the optical properties of molecules containing multiple fluorophores is discussed.
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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".