Automatic counting of retinal ganglion cells in the entire mouse retina based on improved YOLOv5.

ABSTRACT: Glaucoma is characterized by the progressive loss of retinal ganglion cells (RGCs), although the pathogenic mechanism remains largely unknown. To study the mechanism and assess RGC degradation, mouse models are often used to simulate human glaucoma and specific markers are used to label and quantify RGCs. However, manually counting RGCs is time-consuming and prone to distortion due to subjective bias. Furthermore, semi-automated counting methods can produce significant differences due to different parameters, thereby failing objective evaluation. Here, to improve counting accuracy and efficiency, we developed an automated algorithm based on the improved YOLOv5 model, which uses five channels instead of one, with a squeeze-and-excitation block added. The complete number of RGCs in an intact

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9486514 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature