Evidence map›Paper›PMID 37024463›Full record

ArticleLight, science & applications2023

Snapshot multispectral imaging using a diffractive optical network.

Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan

Open access · goldAbstract read
In one paragraph

Article in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
15.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 90 citations in OpenAlex.

  1. Review
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  11. High-Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  12. Multiple CR Spatiotemporal Compressive Imaging System.Sensors (Basel, Switzerland) · 2025
    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

4 authors at 1 institution in 1 country.

Deniz MenguElectrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0003-1051-1501
Anika TabassumElectrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA.
Mona JarrahiElectrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0001-9514-555X
Aydogan OzcanElectrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA. ozcan@ucla.edu.ORCID http://orcid.org/0000-0002-0717-683X
California NanoSystems Institute · US

Funding

DOE | SC | Basic Energy Sciences (BES) DE-SC0023088
6 · The paper itself

Abstract

Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network-based multispectral imaging system trained using deep learning to create a virtual spectral filter array at the output image field-of-view. This diffractive multispectral imager performs spatially-coherent imaging over a large spectrum, and at the same time, routes a pre-determined set of spectral channels onto an array of pixels at the output plane, converting a monochrome focal-plane array or image sensor into a multispectral imaging device without any spectral filters or image recovery algorithms. Furthermore, the spectral responsivity of this diffractive multispectral imager is not sensitive to input polarization states. Through numerical simulations, we present different diffractive network designs that achieve snapshot multispectral imaging with 4, 9 and 16 unique spectral bands within the visible spectrum, based on passive spatially-structured diffractive surfaces, with a compact design that axially spans ~72λ

Identifiers

PMID37024463
PMCPMC10079962
OpenAlexW4362668254

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.