Evidence map›Paper›PMID 41113906›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

A Dual-Camera High-Resolution Hyperspectral Imaging System for the Retina.

Minh Ha Tran, Michelle Bryarly, Kelden Pruitt, Arrsh Ali, Isioma Emordi, Aria Jahadi, Baowei Fei

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minh Ha TranCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Michelle BryarlyCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Kelden PruittCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Arrsh AliCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Isioma EmordiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Aria JahadiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.
Baowei FeiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX 75080.

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

Hyperspectral imaging (HSI) emerged as a powerful tool for biomedical applications, particularly in the analysis and discrimination of biological tissues. In this study, we developed a dual-camera system that integrates hyperspectral imaging with high-resolution RGB imaging to capture detailed retinal images. We tested different pan-sharpening algorithms to enhance the spatial resolution of the hyperspectral images, combining the spectral details of HSI with the spatial details of RGB imaging. We developed algorithms to estimate the diameter of retinal vessels and the oxygenation rate. We validated our algorithms by imaging a mouse retinal phantom and then by imaging mice under anesthesia. Our systems showed the ability to resolve fine structural details, including small blood vessels. We found that out of the tested methods, PSGAN offered the best pansharpened image both quantitatively and qualitatively, with a root-mean-squared error (RMSE) score of 2.15 × 10

Indexed as

Hyperspectral imagingmouseocular imagingpan-sharpeningsuper-resolution

Identifiers

PMID41113906
PMCPMC12535261

What OpenQuestion holds

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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.