Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging

Shrestha P, Kulyabin M, Sindel A, Baraas R, Gilson S, Pedersen H, Maier A (2025)

Publication Type: Conference contribution

Publication year: 2025

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 254-259

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg DE

ISBN: 9783658474218

DOI: 10.1007/978-3-658-47422-5_55

Abstract

Accurate detection and segmentation of cone cells in the retina are essential for diagnosing and managing retinal diseases. In this study, we used advanced imaging techniques, including confocal and non-confocal split detector images from adaptive optics scanning light ophthalmoscopy (AOSLO), to analyze photoreceptors for improved accuracy. Precise segmentation is crucial for understanding each cone cell’s shape, area, and distribution. It helps to estimate the surrounding areas occupied by rods, which allows the calculation of the density of cone photoreceptors in the area of interest. In turn, density is critical for evaluating overall retinal health and functionality. We explored two U-Net-based segmentation models: StarDist for confocal and Cellpose for non-confocal modalities. Analyzing cone cells in images from two modalities and achieving consistent results demonstrates the study’s reliability and potential for clinical application.

Authors with CRIS profile

Prajol Shrestha Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Mikhail Kulyabin Lehrstuhl für Informatik 5 (Mustererkennung) Aline Sindel Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

University of South-Eastern Norway - USN NO Norway (NO)

How to cite

APA:

Shrestha, P., Kulyabin, M., Sindel, A., Baraas, R., Gilson, S., Pedersen, H., & Maier, A. (2025). Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging. In Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff (Eds.), Informatik aktuell (pp. 254-259). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Shrestha, Prajol, et al. "Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging." Proceedings of the German Conference on Medical Image Computing, 2025, Regensburg Ed. Christoph Palm, Katharina Breininger, Thomas Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas M. Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2025. 254-259.

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