An assessment tool for computer-assisted semen analysis (CASA) algorithms.

ABSTRACT: Computer-Assisted Semen Analysis (CASA) enables reliable analysis of semen images, and is designed to process large number of images with high consistency, accuracy, and repeatability. Design and testing of CASA algorithms can be accelerated greatly if reliable simulations of semen images under a variety of conditions and sample quality modes are available. Using life-like simulation of semen images can quantify the performance of existing and proposed CASA algorithms, since the parameters of the simulated image are known and controllable. We present simulation models for sperm cell image and swimming modes observed in real 2D (top-down) images of sperm cells in laboratory specimen. The models simulate human sperm using four (4) types of swimming, namely linear mean, circular, hyperactive,

SUBMITTER: Choi JW 

PROVIDER: S-EPMC9546881 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature