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Relationship Between mTHPC Fluorescence Photobleaching and Cell Viability During In Vitro Photodynamic Treatment of DP16 Cells¶

2002· article· en· W2178296696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhotochemistry and Photobiology · 2002
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhotobleachingPhotodynamic therapyPhotosensitizerTrypan blueFluorescenceViability assayPhotochemistryChemistryBiophysicsIrradiationFluenceChlorinRose bengalSinglet oxygenIn vitroOxygenBiologyBiochemistryOptics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.282
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it