Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images

—Due to the enormous potential and impact that stem cells may have on regenerative medicine, there has been a rapidly growing interest for tools to analyze and characterize the behaviors of these cells in vitro in an automated and high throughput fashion. Among these behaviors, mitosis, or cell division, is important since stem cells proliferate and renew themselves through mitosis. However, current automated systems for measuring cell proliferation often require destructive or sacrificial methods of cell manipulation such as cell lysis or in vitro staining. In this paper, we propose an effective approach for automated mitosis detection using phase-contrast time-lapse microscopy, which is a nondestructive imaging modality, thereby allowing continuous monitoring of cells in culture. In our approach, we present a probabilistic model for event detection, which can simultaneously 1) identify spatio-temporal patch sequences that contain a mitotic event and 2) localize a birth event, de�...

• Type: Journal
• Year: 2011
• Where: TMI
• Authors: Seungil Huh, Dai Fei E. Ker, Ryoma Bise, Mei Chen, Takeo Kanade
• Keywords: Cell, Cell Division, Stem Cell, TMI 2011