Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy.

ABSTRACT: In this paper we propose a workflow to detect and track mitotic cells in time-lapse microscopy image sequences. In order to avoid the requirement for cell lines expressing fluorescent markers and the associated phototoxicity, phase contrast microscopy is often preferred over fluorescence microscopy in live-cell imaging. However, common specific image characteristics complicate image processing and impede use of standard methods. Nevertheless, automated analysis is desirable due to manual analysis being subjective, biased and extremely time-consuming for large data sets. Here, we present the following workflow based on mathematical imaging methods. In the first step, mitosis detection is performed by means of the circular Hough transform. The obtained circular contour subsequently serves as

SUBMITTER: Grah JS 

PROVIDER: S-EPMC6414815 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature