Photoacoustic Detection of Protein Coagulation in Albumen-based Phantoms
Bibliographic record
Abstract
Photoacoustic tomography provides good optical contrast with high spatial resolution making it an attractive tool for noninvasive imaging. While the mechanical parameters of tissue affect the photoacoustic signal, the differences in optical absorption mainly determines the contrast between different media. In this work we investigate how the variation in optical and mechanical properties during laser-induced coagulation can be detected by changes in the amplitude and temporal characteristics of photoacoustic signals. Photoacoustic pressure profiles are investigated for tissue equivalent albumen phantoms exposed to varying thermal doses, simulating thermal coagulation. Illumination is performed using an optical parametric oscillator (OPO) fed by a Q-switched Nd:YAG pulsed laser to illuminate at multiple wavelengths. The results of the study demonstrate that photoacoustic signals are sensitive to changes in delivered thermal dose and, hence, photoacoustic imaging has potential as a non-invasive monitoring tool for thermal therapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".