Improving cone identification using merged non-confocal quadrant-detection adaptive optics scanning light ophthalmoscope images

被引：1

作者：

Chui, Toco y. p. ^{[1
]}

Migacz, Justin, V ^{[1
]}

Duran, Luis Muncharaz ^{[1
]}

Haq, Affan ^{[1
]}

Otero-marquez, Oscar ^{[1
]}

Dubra, Alfredo ^{[2
]}

Rosen, Richard b. ^{[1
]}

机构：

[1] New York Eye & Ear Infirm Mt Sinai, Dept Ophthalmol, New York, NY 10003 USA

[2] Stanford Univ, Dept Ophthalmol, Palo Alto, CA 94303 USA

来源：

BIOMEDICAL OPTICS EXPRESS | 2024年 / 15卷 / 11期

关键词：

PHOTORECEPTORS; VARIABILITY;

D O I：

10.1364/BOE.539001

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Cone photoreceptor inner segments visualized in non-confocal split-detection adaptive optics scanning light ophthalmoscope (AOSLO) images appear as obliquely illuminated domes with bright and dark opposing regions. Previously, the pairing of these bright and dark regions for automated photoreceptor identification has necessitated complex algorithms. Here we demonstrate how the merging of split-detection images captured with a non-confocal quadrant light detection scheme allows automated cone identification using simple, open-source image processing tools, while also improving accuracy in both normal and pathologic retinas. (c) 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

引用

页码：6117 / 6135

页数：19

共 4 条

[1] Cone Photoreceptor Morphology in Choroideremia Assessed Using Non-Confocal Split-Detection Adaptive Optics Scanning Light Ophthalmoscopy
Xu, Peiluo
Jiang, Yu You
Morgan, Jessica I. W.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2023, 64 (10)
[2] Improved Sensitivity of Automated Cone Identification in Images of Adaptive Optics Scanning Laser Ophthalmoscope (AOSLO)
Yonezawa, Keiko
Sonobe, Hiraku
Uji, Akihito
Ooto, Sotaro
Hangai, Masanori
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INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
[3] Human cone density measurements by two automatic detection algorithms of adaptive optics scanning laser ophthalmoscope images
Miyagawa, Suguru
Yamaguchi, Tatsuo
Kitamura, Kazuo
Fukuyama, Hisashi
Kanda, Hiroyuki
Fujikado, Takashi
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2014, 55 (13)
[4] Deep Density Estimation for Cone Counting and Diagnosis of Genetic Eye Diseases From Adaptive Optics Scanning Light Ophthalmoscope Images
Toledo-Cortes, Santiago
Dubis, Adam M.
Gonzalez, Fabio A.
Mueller, Henning
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2023, 12 (11):

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