Luminescence lifetime imaging using a cellphone camera with an electronic rolling shutter
Bibliographic record
Abstract
Luminescence lifetime imaging systems are typically complex and expensive instruments targeting bench-top applications. We present a low-cost approach for video frame rate luminescence lifetime imaging on the microsecond scale based on a cellphone camera. The luminescence lifetime is mapped by measuring the phase shift of optical fringes captured by a camera with an electronic rolling shutter at 30 frames per second. Luminescence lifetime imaging is validated by observing a platinum(II)-5,10,15,20-tetrakis-(2,3,4,5,6-pentafluorphenyl)-porphyrin (PtTFPP)/polystyrene film with a non-uniform lifetime distribution. The experimental results indicate a lifetime resolution of 580 ns when a lifetime of 22 µs is measured. This device is portable, low in cost, and shows potential in point-of-care diagnostic and environment applications that measure long-lifetime luminescence.
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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".