Abstract

Measuring cell motility and morphology is important for revealing their functional characteristics. This paper presents automation techniques that enable automated, non-invasive measurement of motility and morphology parameters of single sperm. Compared to the status quo of qualitative estimation of single sperm's motility and morphology manually, the automation techniques provide quantitative data for embryologists to select a single sperm for intracytoplasmic sperm injection. An adapted joint probabilistic data association filter was used for multi-sperm tracking and tackled challenges of identifying sperms that intersect or have small spatial distances. Since the standard differential interference contrast (DIC) imaging method has side illumination effect which causes inherent inhomogeneous image intensity and poses difficulties for accurate sperm morphology measurement, we integrated total variation norm …

Date

2018

Authors

Changsheng Dai, Zhuoran Zhang, James Huang, Xian Wang, Changhai Ru, Huayan Pu, Shaorong Xie, Junyan Zhang, Sergey Moskovtsev, Clifford Librach, Keith Jarvi, Yu Sun

Journal

IEEE Transactions on Medical Imaging

Volume

37

Issue

10

Pages

2257-2265

Publisher

IEEE