A low-cost 10 mm diameter histotripsy transducer for tissue ablation guided by a co-registered high-frequency endoscopic phased array
Bibliographic record
Abstract
In this work, we present the development of a low-cost, 10 mm diameter histotripsy transducer with co-registered imaging using a 45 MHZ, 64-element phased array. The construction of 10 mm diameter transducer consisting of a 45% volume fraction composite, aluminum lens, and quarter-wavelength parylene matching layer is outlined. Steady-state peak-to-peak pressure ranges from 3.0 to 10.6 MPa as drive voltage ranges from 15 V to 50 V. The beam profile of the transducer was measured using a hydrophone, where the radial 3 dB width was found to be 0.176 mm while the 3 dB length in the axial direction was found to be 1.109 mm for a 20 cycle pulse. Co-registered imaging and ablation results for chinchilla neural tissue are shown.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".