Evidence map›Paper›PMID 38126078›Full record

ArticlePhotoacoustics2023

Theoretical and experimental study on the detection limit of the micro-ring resonator based ultrasound point detectors.

Youngseop Lee, Qiangzhou Rong, Ki-Hee Song, David A Czaplewski, Hao F Zhang, Junjie Yao, Cheng Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Photoacoustics · 2026
    Article
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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

7 authors.

Youngseop LeeDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Qiangzhou RongDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Ki-Hee SongDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
David A CzaplewskiCenter for Nanoscale Materials, Argonne National Laboratory, Argonne, IL 60439, USA.
Hao F ZhangDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Cheng SunDepartment of Mechanical Engineering, Northwestern University, Evanston IL 60208, USA.

Funding

TR&D Project 3: Photoacoustic Detection of Metal Fluxes at the Tissue LevelP41GM135018 · NIGMS · NORTHWESTERN UNIVERSITY · PI JACOBSEN, CHRIS JOHNSON, O'HALLORAN, THOMAS V · 2020 to 2024
$5.8M
High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics ScreeningR01HL166522 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Junjie Yao, Y. Shrike Zhang · 2023 to 2026
$2.7M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Photoactivatable Fluorophores for High-Throughput Multiplexed Tracking of Single-Molecules in Live CellsR01GM143397 · NIGMS · UNIVERSITY OF MIAMI CORAL GABLES · PI RAYMO, FRANCISCO M · 2022 to 2025
$1.4M
NHLBI NIH HHS R01 HL166522NIBIB NIH HHS R01 EB028143NIGMS NIH HHS P41 GM135018NIGMS NIH HHS R01 GM143397NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Combining the diffusive laser excitation and the photoacoustic signals detection, photoacoustic computed tomography (PACT) is uniquely suited for deep tissue imaging. A diffraction-limited ultrasound point detector is highly desirable for maximizing the spatial resolution and the field-of-view of the reconstructed volumetric images. Among all the available ultrasound detectors, micro-ring resonator (MRR) based ultrasound detectors offer the lowest area-normalized limit of detection (nLOD) in a miniature form-factor, making it an ideal candidate as an ultrasound point detector. However, despite their wide adoption for photoacoustic imaging, the underlying signal transduction process has not been systematically studied yet. Here we report a comprehensive theoretical model capturing the transduction of incident acoustic signals into digital data, and the associated noise propagation process, using experimentally calibrated key process parameters. The theoretical model quantifies the signal-to-noise ratio (SNR) and the nLOD under the influence of the key process variables, including the quality factor (Q-factor) of the MRR and the driving wavelength. While asserting the need for higher Q-factors, the theoretical model further quantifies the optimal driving wavelength for optimizing the nLOD. Given the MRR with a Q-factor of 1 × 10

Indexed as

Photoacoustic computed tomographyPhotoacoustic imagingPolymer micro-ring resonatorUltrasound detector

Identifiers

PMID38126078
PMCPMC10731384

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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.