Evidence map›Paper›PMID 35498553›Full record

ArticleAPL photonics2021

High-speed 2D and 3D mid-IR imaging with an InGaAs camera.

Eric O Potma, David Knez, Martin Ettenberg, Matthew Wizeman, Hai Nguyen, Tom Sudol, Dmitry A Fishman

Abstract read
In one paragraph

Article in APL photonics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Digital Histopathology by Infrared Spectroscopic Imaging.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023
    Review
  4. Mid-infrared single-photon 3D imaging.Light, science & applications · 2023
    Article
  5. Review
  6. Article
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.

Eric O PotmaDepartment of Chemistry, University of California Irvine, Irvine, California 92697, USA.ORCID 0000-0003-3916-6131
David KnezDepartment of Chemistry, University of California Irvine, Irvine, California 92697, USA.ORCID 0000-0002-3307-882X
Martin EttenbergPrinceton Infrared Technologies, Monmouth Junction, New Jersey 08852, USA.
Matthew WizemanPrinceton Infrared Technologies, Monmouth Junction, New Jersey 08852, USA.
Hai NguyenPrinceton Infrared Technologies, Monmouth Junction, New Jersey 08852, USA.
Tom SudolPrinceton Infrared Technologies, Monmouth Junction, New Jersey 08852, USA.
Dmitry A FishmanDepartment of Chemistry, University of California Irvine, Irvine, California 92697, USA.ORCID 0000-0001-6287-2128

Funding

Rapid infrared biomedical imaging at high pixel density with a sCMOS cameraR21GM141774 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI POTMA, ERIC OLAF · 2021 to 2022
$382k
NIGMS NIH HHS R21 GM141774
6 · The paper itself

Abstract

Recent work on mid-infrared (MIR) detection through the process of non-degenerate two-photon absorption (NTA) in semiconducting materials has shown that wide-field MIR imaging can be achieved with standard Si cameras. While this approach enables MIR imaging at high pixel densities, the low nonlinear absorption coefficient of Si prevents fast NTA-based imaging at lower illumination doses. Here, we overcome this limitation by using InGaAs as the photosensor. Taking advantage of the much higher nonlinear absorption coefficient of this direct bandgap semiconductor, we demonstrate high-speed MIR imaging up to 500 fps with under 1 ms exposure per frame, enabling 2D or 3D mapping without pre- or post-processing of the image.

Identifiers

PMID35498553
PMCPMC9026176

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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.