Evidence map›Paper›PMID 40521235›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2025

LED-based, real-time, hyperspectral imaging device.

Naeeme Modir, Maysam Shahedi, James Dormer, Ling Ma, Baowei Fei

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Naeeme ModirUniversity of Texas at Dallas, Department of Bioengineering, Richardson, Texas, United States.
Maysam ShahediUniversity of Texas at Dallas, Department of Bioengineering, Richardson, Texas, United States.ORCID https://orcid.org/0000-0001-9108-2010
James DormerUniversity of Texas at Dallas, Department of Bioengineering, Richardson, Texas, United States.
Ling MaUniversity of Texas at Dallas, Department of Bioengineering, Richardson, Texas, United States.ORCID https://orcid.org/0000-0002-4352-5697
Baowei FeiUniversity of Texas at Dallas, Department of Bioengineering, Richardson, Texas, United States.ORCID https://orcid.org/0000-0002-9123-9484

Funding

ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
A Real-Time Hyperspectral Laparoscopic Stereo Imaging System for Robot-Assisted SurgeryR01CA288379 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BAOWEI FEI · 2024 to 2026
$1.6M
NCI NIH HHS R01 CA204254NCI NIH HHS R01 CA288379
6 · The paper itself

Abstract

Purpose: This study demonstrates the feasibility of using an LED array for hyperspectral imaging (HSI). The prototype validates the concept and provides insights into the design of future HSI applications. Our goal is to design, develop, and test a real-time, LED-based HSI prototype as a proof-of-principle device for Approach: A prototype was designed based on a multiwavelength LED array and a monochrome camera and was tested to investigate the properties of the LED-based HSI. The LED array consisted of 18 LEDs in 18 different wavelengths from 405 nm to 910 nm. The performance of the imaging system was evaluated on different normal and cancerous Results: The hyperspectral signatures of different imaging targets were acquired using our prototype HSI device, which are comparable to the data obtained using the reference HSI system. Conclusions: The feasibility of employing a spectral LED array as the illumination source for high-speed and high-quality HSI has been demonstrated. The use of LEDs for HSI can open the door to numerous applications in endoscopic, laparoscopic, and handheld HSI devices.

Indexed as

endoscopeFPGAgastrointestinal cancerhyperspectral imagingLED arraymultispectral imaging

Identifiers

PMID40521235
PMCPMC12162177

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.