Three‐dimensional thermophotonic image optimization modalities of truncated correlation photothermal coherence tomography
Bibliographic record
Abstract
Truncated correlation photothermal coherence tomography (TC-PCT) is a pulse-compression, matched-filter-based photothermal diffusion-wave imaging modality with a proven track record in non-destructive evaluation of biomedical, dental, art-object and industrial applications. This is a study of the effect thermal transient truncation plays in the TC-PCT algorithm. It introduces a new phase channel which was coined the name Linear Iso Phase (LIOP) and improves the conventional TC-PCT phase by redevising its matched-filter sampling scheme and removing the effect of circular aliasing artifacts introduced in the frequency-domain-transformed cross-correlation (CC) calculations. A previously introduced computationally simplified adaptation to TC-PCT based on conventional CC signal processing, named enhanced truncated correlation photothermal coherence tomography (eTC-PCT), which does not utilize thermal transient truncation is also investigated: The TC-PCT and eTC-PCT algorithms and the LIOP channel are used to produce three-dimensional reconstructions of a complex multi-layered marquetry art sample and a tooth with a bacterial-induced lesion.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".