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Chapter 22 - User-friendly tools for quantifying the dynamics of cellular morphology and intracellular protein clusters

Authors
Publisher
Elsevier Science & Technology
Identifiers
DOI: 10.1016/b978-0-12-420138-5.00022-7
Keywords
  • Image Quantification
  • Motion Classification
  • Cell Segmentation
  • Cell Tracking
  • User Interface
Disciplines
  • Biology
  • Computer Science

Abstract

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 software11 https://dl.dropboxusercontent.com/u/7035514/GUIs_for_MCB.zip (MATLAB applications with graphical user interfaces) so these tools can be readily applied without an extensive knowledge of computational techniques.

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