1. Automated three‐dimensional cell counting method for grading uveitis of rodent eye in vivo with optical coherence tomography

    Automated three‐dimensional cell counting method for grading uveitis of rodent eye in vivo with optical coherence tomography

    In preclinical vision research, cell grading in small animal models is essential for the quantitative evaluation of intraocular inflammation. Here, we present a new and practical optical coherence tomography (OCT) image analysis method for the automated detection and counting of aqueous cells in the anterior chamber (AC) of a rodent model of uveitis. Anterior segment OCT images are acquired with a 100 kHz swept‐source OCT system. The proposed method consists of 2 steps. In the first step, we first despeckle and binarize each OCT image. After removing AS structures in the binary image, we then apply area thresholding to ...

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