Evidence map›Paper›PMID 39943313›Full record

ArticleSensors (Basel, Switzerland)2025

Trends in Snapshot Spectral Imaging: Systems, Processing, and Quality.

Jean-Baptiste Thomas, Pierre-Jean Lapray, Steven Le Moan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Article
  2. Article
  3. Review
  4. 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

3 authors.

Jean-Baptiste ThomasImagerie et Vision Artificielle (ImViA) Laboratory, Department Informatique, Electronique, Mécanique (IEM), Université de Bourgogne Europe, 21000 Dijon, France.ORCID 0009-0008-4027-4387
Pierre-Jean LaprayThe Institute for Research in Computer Science, Mathematics, Automation and Signal, Université de Haute-Alsace, IRIMAS UR 7499, 68100 Mulhouse, France.ORCID 0000-0003-2230-0955
Steven Le MoanDepartment of Computer Science, NTNU-Norwegian University of Science and Technology, 2815 Gjøvik, Norway.ORCID 0000-0003-4713-2732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in spectral imaging have enabled snapshot acquisition, as a means to mitigate the impracticalities of spectral imaging, e.g., expert operators and cumbersome hardware. Snapshot spectral imaging, e.g., in technologies like spectral filter arrays, has also enabled higher temporal resolution at the expense of the spatio-spectral resolution, allowing for the observation of temporal events. Designing, realising, and deploying such technologies is yet challenging, particularly due to the lack of clear, user-meaningful quality criteria across diverse applications, sensor types, and workflows. Key research gaps include optimising raw image processing from snapshot spectral imagers and assessing spectral image and video quality in ways valuable to end-users, manufacturers, and developers. This paper identifies several challenges and current opportunities. It proposes considering them jointly and suggests creating a new unified snapshot spectral imaging paradigm that would combine new systems and standards, new algorithms, new cost functions, and quality indices.

Indexed as

image qualityimage reconstructionsnapshot spectral imagingspectral imaging

Identifiers

PMID39943313
PMCPMC11820509

What OpenQuestion holds

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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.