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使用合并的非共焦象限检测自适应光学扫描激光检眼镜图像改善视锥细胞识别。

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

作者信息

Chui Toco Y P, Migacz Justin V, Muncharaz Duran Luis, Haq Affan, Otero-Marquez Oscar, Dubra Alfredo, Rosen Richard B

机构信息

Department of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, NY 10003, USA.

Department of Ophthalmology, Stanford University, Palo Alto, CA 94303, USA.

出版信息

Biomed Opt Express. 2024 Oct 2;15(11):6117-6135. doi: 10.1364/BOE.539001. eCollection 2024 Nov 1.

DOI:10.1364/BOE.539001
PMID:39553865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11563324/
Abstract

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.

摘要

在非共焦分裂检测自适应光学扫描激光检眼镜（AOSLO）图像中可视化的视锥光感受器内节呈现为倾斜照明的圆顶，有明暗相对的区域。此前，为了自动识别光感受器而对这些明暗区域进行配对需要复杂的算法。在此，我们展示了如何通过合并使用非共焦象限光检测方案捕获的分裂检测图像，利用简单的开源图像处理工具实现视锥细胞的自动识别，同时还提高了正常和病理视网膜的识别准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/51615e6677a7/boe-15-11-6117-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/ff0d4cb33208/boe-15-11-6117-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/42fc83cec4ba/boe-15-11-6117-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/c196c0432dcb/boe-15-11-6117-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/2a8bb6a73cdd/boe-15-11-6117-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/51e716028c0f/boe-15-11-6117-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/33a04e915ba0/boe-15-11-6117-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/de6af6c88b73/boe-15-11-6117-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/1655dce6b028/boe-15-11-6117-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/44d46d76569a/boe-15-11-6117-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/2bf4b9e8dab2/boe-15-11-6117-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/51615e6677a7/boe-15-11-6117-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/ff0d4cb33208/boe-15-11-6117-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/42fc83cec4ba/boe-15-11-6117-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/c196c0432dcb/boe-15-11-6117-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/2a8bb6a73cdd/boe-15-11-6117-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/51e716028c0f/boe-15-11-6117-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/33a04e915ba0/boe-15-11-6117-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/de6af6c88b73/boe-15-11-6117-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/1655dce6b028/boe-15-11-6117-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/44d46d76569a/boe-15-11-6117-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/2bf4b9e8dab2/boe-15-11-6117-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f98/11563324/51615e6677a7/boe-15-11-6117-g011.jpg

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