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

ABSTRACT: 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 isolate cell-like objects. Potential cell candidates are selected based on their best fit to roundness. The second step performs the cell counting within the whole AC, in wh

SUBMITTER: Choi WJ 

PROVIDER: S-EPMC6158070 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature