The presented research focuses on the development and implementation of an innovative computer algorithm for automated analysis of Spectral Domain-Optical Coherence Tomography (SD-OCT) images of live teleost fish eyes. The study addresses the labor-intensive manual processing of SD-OCT images, particularly in non-mammalian species, due to the lack of available analytical tools. The novel algorithm employs thresholding techniques to quantify the thickness of retinal layers in teleost eyes, enabling more precise measurements and higher throughput compared to manual segmentation. The algorithm's accuracy and repeatability were validated, showcasing its efficacy in analyzing a substantial volume of imaging data in a short time. The integration of a heat map software further visualizes the retinal thickness variations across the entire scan. This research introduces a vital tool for analyzing SD-OCT scans of non-mammalian species, enhancing research potential and enabling comparative studies and area localization for future investigations. The adaptability of the algorithm and software suggests their potential applicability in analyzing SD-OCT scans from other non-mammalian species.
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