Evidence map›Paper›PMID 36711164›Full record

ArticleBiomedical engineering letters2023

Homodyne time-of-flight acousto-optic imaging for low-gain photodetector.

Ahiad R Levi, Yoav Hazan, Aner Lev, Bruno G Sfez, Amir Rosenthal

Open access · greenAbstract read
In one paragraph

Article in Biomedical engineering letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 57% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Ahiad R LeviAndrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion - Israel Institute of Technology, 32000 Technion City, Haifa, Israel.ORCID 0000-0002-2434-409X
Yoav HazanAndrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion - Israel Institute of Technology, 32000 Technion City, Haifa, Israel.
Aner LevThe Israel Center for Advanced Photonics (ICAP), Soreq NRC, Yavne, Israel.
Bruno G SfezThe Israel Center for Advanced Photonics (ICAP), Soreq NRC, Yavne, Israel.
Amir RosenthalAndrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion - Israel Institute of Technology, 32000 Technion City, Haifa, Israel.
Technion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acousto-optics imaging (AOI) is a hybrid imaging modality that is capable of mapping the light fluence rate in deep tissue by local ultrasound modulation of the diffused photons. Since the intensity of the modulated photons is relatively low, AOI systems often rely on high-gain photodetectors, e.g. photomultiplier tubes (PMTs), which limit scalability due to size and cost and may significantly increase the relative shot-noise in the detected signal due to low quantum yields or gain noise. In this work, we have developed a homodyne AOI scheme in which the modulated photons are amplified by interference with a reference beam, enabling their detection with a single low-gain photodetector in reflection-mode configuration. We experimentally demonstrate our approach with a silicon photodiode, achieving over a 4-fold improvement in SNR in comparison to a PMT-based setup. The increased SNR manifested in lower background noise level thus enabling deeper imaging depths. The use of a fiber-based configuration enables the integration of our scheme in a hand-held AOI probe.

Indexed as

Acousto-opticsCoherent detectionHomodyneMedical imagingPreclinical systemUltrasound modulated optoacoustics

Identifiers

PMID36711164
PMCPMC9873866
OpenAlexW4309581709

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.