Evidence map›Paper›PMID 42161932›Full record

ArticleMicrosystems & nanoengineering2026

Pre-snapback mode operation of CMUT for enhanced acoustic performance.

Seyoung Park, Chaerin Oh, Wonjun Lee, Keun Young Huh, Byung Chul Lee, Hyunjoo J Lee

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Seyoung ParkSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Chaerin OhSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Wonjun LeeSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Keun Young HuhBionics Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Byung Chul LeeBionics Research Center, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.ORCID http://orcid.org/0000-0002-7702-716X
Hyunjoo J LeeSchool of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea. hyunjoo.lee@kaist.ac.kr.ORCID http://orcid.org/0000-0001-9963-2515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capacitive micromachined ultrasonic transducers (CMUTs) offer advantages over traditional piezoelectric devices for ultrasound applications, including broader bandwidth, miniaturization, and electronics integration, but are limited by low acoustic pressure in conventional operation. Here, we introduce a pre-snapback mode of CMUT operation that enhances acoustic output while maintaining device stability. Using a new analytical donut-plate model, we optimize CMUT cell design to expand the pre-snapback region and maximize electromechanical coupling. We demonstrate a stable pre-snapback regime with transmission and reception sensitivities surpassing those of conventional CMUTs and commercial piezoelectric devices. B-mode imaging using the CMUT array confirms improved image contrast and penetration under identical bias conditions. Furthermore, the pre-snapback mode shows stable long-term operation with reduced dielectric and mechanical stress. This work establishes pre-snapback CMUT operation as a high-performance, reliable regime, unlocking new possibilities for fully integrated ultrasound systems in clinical and therapeutic applications.

Identifiers

PMID42161932
PMCPMC13190714

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.