Polymer Dots Exhibiting Multi‐Resonant Thermally Activated Delayed Fluorescence for Cellular Imaging
Bibliographic record
Abstract
Abstract Materials exhibiting multiple resonance thermally activated delayed fluorescence (MR‐TADF) have attracted attention in organic electronics because of their high photoluminescence quantum yield and narrowband emission. While these superior properties are also desirable for probes for biological imaging, MR‐TADF emitters have yet to be broadly exploited in this field. Here, the MR‐TADF emitter QAO is incorporated into polymer nanoparticles to construct biological imaging probes with narrowband emission and delayed fluorescence. A monomer QAO‐NB is first designed by incorporating a norbornene polymerization handle onto the QAO core, which is then incorporated into a polymer backbone by ring‐opening metathesis polymerization to afford water‐dispersible fluorescent polymer dots, or Pdots. Photophysical characterization confirmed that narrowband emission is preserved in both the polymers and Pdots (λ max = 467–478 nm, FWHM ≤ 50 nm), with a delayed fluorescence lifetime of 455 µs in the Pdots. Multichannel fluorescence imaging studies using comparisons against donor‐acceptor TADF materials underscore the potential of MR‐TADF for the development of narrowband emissive bioimaging probes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".