Addressing Factors Affecting Fluorescent Signal Collection of a Multimode Photonic Crystal Fiber Fluorometer
Bibliographic record
Abstract
A multimode photonic crystal fiber (PCF) fluorometer interrogated by a spectrometer is investigated. By adding a glass tip at the end of the PCF, we found that this fluorometer significantly enhances the fluorescent light collection efficiency (CE). Factors associated with the CE and stray light rejection are addressed. The experimental study verifies the proposed PCF probe based on the consideration of solely meridian rays. However, our further study in this paper shows the significance of skew rays under total internal reflection (TIR), which in fact carry 53% of the total guidable fluorescent signal power and are blocked in our experiment. We highlight that this missing power is strongly associated with the numerical aperture (NA) of each optical component in the system and suggest further improvement on the components in the system. The proposed PCF fluorometer is particularly efficient and cost effective for an immersion medium with a high attenuation.
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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".