Relationship Between mTHPC Fluorescence Photobleaching and Cell Viability During In Vitro Photodynamic Treatment of DP16 Cells¶
Bibliographic record
Abstract
An implicit dosimetric model has been proposed in which biological damage caused by photodynamic therapy (PDT) is monitored through the decrease in sensitizer fluorescence during treatment. To investigate this, in vitro experiments were performed in which DP16 cells were incubated in meta-tetra(hydroxyphenyl)chlorin (mTHPC) and then irradiated with 514 nm light. Photosensitizer concentration, fluence rate and oxygenation were independently controlled and monitored during the treatment. Fluorescence of mTHPC was continuously monitored via a charge-coupled device-coupled spectrometer during treatment and, at selected fluence levels, cell viability was determined using a trypan blue exclusion assay. The relationship of cell viability to normalized fluorescence was obtained for the different treatment conditions. The relationship was independent of cell medium oxygenation, treatment fluence rate and sensitizer incubation concentration except at a high mTHPC concentration (4 microg/mL). This relationship suggests that fluorescence bleaching may be used to predict mTHPC PDT damage in vitro.
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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 | 0.001 |
| 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 | 0.001 |
| 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".