Spatial resolution of ultrasound-modulated optical tomography used for the detection of absorbing and scattering objects in thick scattering media
Bibliographic record
Abstract
Ultrasound-modulated optical tomography (UOT) combines the spatial resolution of ultrasonic waves and the spectroscopic properties of light to detect optically absorbing and/or scattering objects in highly scattering media. In this work, a double-pass confocal Fabry-Perot interferometer is used as a bandpass filter to selectively detect the ultrasoundtagged photons. The limited etendue of the confocal Fabry-Perot interferometer is compensated by using a singlefrequency laser emitting high-peak-power optical pulses. Compared to photoacoustic tomography, UOT is not only sensitive to optical absorption but also to scattering properties. In this paper, we consider the detection of absorbing and scattering objects embedded in thick (30 to 60 mm) tissue-mimicking phantoms and biological tissues. The experimental evaluation of the spatial resolution of the technique is compared to that expected from the ultrasonic beam intensity profile. Preliminary results indicate that the edge spread function is influenced by the level of absorption of the embedded object.
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.
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 | 0.001 | 0.002 |
| 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 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".