Evidence map›Paper›PMID 34475446›Full record

ArticleScientific reports2021

Photoacoustic tomography of fingerprint and underlying vasculature for improved biometric identification.

Wenhan Zheng, Diana Lee, Jun Xia

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Deep Learning Enhanced Volumetric Photoacoustic Imaging of Vasculature in Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  10. Review of imaging test phantoms.Journal of biomedical optics · 2023
    Review
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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

3 authors at 1 institution in 1 country.

Wenhan ZhengOptical & Ultrasonic Imaging Laboratory, Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Diana LeeOptical & Ultrasonic Imaging Laboratory, Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA.
Jun XiaOptical & Ultrasonic Imaging Laboratory, Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA. junxia@buffalo.edu.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capitalizing on the photoacoustic effect, we developed a new fingerprint sensing system that can reveal both fingerprints and underlying vascular structures at a high spatial resolution. Our system is built on a 15 MHz linear transducer array, a research ultrasound system, and a 532-nm pulsed laser. A 3D image was obtained by scanning the linear array over the fingertip. The acquired fingerprint images strongly agreed with the images acquired from ultrasound. Additional experiments were also conducted to investigate the effect of acoustic coupling. We discovered that high-quality fingerprint and vessel images can be acquired from both wet and dry fingers using our photoacoustic system. The reduced subdermal features in dry coupling can be enhanced through post-processing. Compared to existing fingerprint scanners, the photoacoustic approach provides a higher quality 3D image of the fingerprint, as well as unique subdermal vasculature structures, making the system almost impossible to counterfeit.

Indexed as

Biometric IdentificationDermatoglyphicsHumansImaging, Three-DimensionalMicrocirculationPhotoacoustic TechniquesSpectrum AnalysisUltrasonography

Identifiers

PMID34475446
PMCPMC8413336
OpenAlexW3198912722

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.