Phase Contrast Microscopy Cell PopulationSegmentation: A Survey

TL;DR

This survey reviews the development of phase contrast microscopy cell population segmentation techniques, highlighting their importance for live cell monitoring and downstream biomedical applications.

Contribution

It provides a comprehensive overview of existing methods for PCM cell segmentation, summarizing progress and identifying challenges in the field.

Findings

Various segmentation techniques have been developed for PCM images.

Recent methods improve accuracy and robustness in cell segmentation.

The survey highlights future research directions in PCM cell segmentation.

Abstract

Phase contrast microscopy (PCM) has been widely used in biomedicine research, which allows users to observe objectives without staining or killing them. One important related research is to employ PCM to monitor live cells. How to segment cell populations in obtained PCM images gains more and more attention as its a critical step for downstream applications, such as cell tracking, cell classification and others. Many papers have been published to deal with this problem from different perspectives. In this paper we aim to present a comprehensive review on the development of PCM cell population segmentation.