Evidence map›Paper›PMID 41112843›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

Retina Phantom Model for Hyperspectral Imaging.

Michelle D Bryarly, Minh Ha Tran, Arrsh Ali, 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

4 authors.

Michelle D BryarlyDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.
Minh Ha TranDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.
Arrsh AliDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.
Baowei FeiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.

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

Accurate retinal imaging is crucial for preclinical research and the development of diagnostic and therapeutic approaches for eye diseases. However, existing retinal imaging models often lack the precision needed to replicate the complex optical environment of the eye, limiting their effectiveness in testing and calibration. Current approaches rely heavily on live animals, which pose ethical concerns and variability in results. In this work, we designed a retinal phantom that can be used to validate spatial and spectral properties. We developed a 3D-printed mouse phantom retina to simulate the conditions of the eye and mimic its optical qualities. We produced gelatin phantom with deoxygenated blood to simulate veins and arteries. Imaging was performed using a topical endoscopic fundus imaging (TEFI) hyperspectral camera. For data analysis, we estimated the oxygenation rate in the phantom. The results showed that the phantom had rich both spatial and spectral details. Oxygenation mapping shows that the phantom produced reliable oxygenation rates of the blood. We believed that this work can be used by researchers for the purpose of validating HSI cameras and may be iterated upon to simulate eye diseases.

Indexed as

eye diseaseshyperspectral imagingphantom modelretina imagingtopical endoscopic fundus imaging

Identifiers

PMID41112843
PMCPMC12534907

What Socratic holds

Textmetadata
LicenceTDM
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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 Socratic graph.