User-friendly tools for quantifying the dynamics of cellular morphology and intracellular protein clusters.

ABSTRACT: Understanding the heterogeneous dynamics of cellular processes requires not only tools to visualize molecular behavior but also versatile approaches to extract and analyze the information contained in live-cell movies of many cells. Automated identification and tracking of cellular features enable thorough and consistent comparative analyses in a high-throughput manner. Here, we present tools for two challenging problems in computational image analysis: (1) classification of motion for cells with complex shapes and dynamics and (2) segmentation of clustered cells and quantification of intracellular protein distributions based on a single fluorescence channel. We describe these methods and user-friendly software(1) (MATLAB applications with graphical user interfaces) so these tools can be r

SUBMITTER: Tsygankov D 

PROVIDER: S-EPMC4504218 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature