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9 - Computational image analysis techniques for cell mechanobiology

from Part I - Micro-nano techniques in cell mechanobiology

Published online by Cambridge University Press:  05 November 2015

By
Ge Yang  and
Hao-Chih Lee
Edited by
Yu Sun ,
Deok-Ho Kim  and
Craig A. Simmons
Yu Sun
Affiliation:
University of Toronto
Deok-Ho Kim
Affiliation:
University of Washington
Craig A. Simmons
Affiliation:
University of Toronto
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Summary

Light microscopy techniques are essential tools for visualizing the mechanobiology of cells. Computational image analysis transforms light microscopy techniques beyond tools of visualization by making it possible to extract from collected images quantitative measurements of cellular mechanical processes and to understand their behavior and mechanisms. The main goal of this chapter is to provide an up-to-date and selective review of computational image analysis techniques for cell mechanobiology applications. We aim to provide practical information to cell mechanobiology practitioners looking for image analysis techniques as well as to image analysis practitioners looking for cell mechanobiology applications. The focus of the chapter is exclusively on computational analysis techniques for dynamic fluorescence microscopy images. We first classify the images into two different categories: singe particle images and continuous region images. We then review computational analysis techniques for each category, respectively. For single particle images, we review related particle detection and particle tracking techniques and their cell mechanobiology applications. Similarly, for continuous region images, we review related region detection and region tracking techniques and their cell mechanobiology applications. We conclude with an outlook on future development of computational image analysis techniques for cell mechanobiology.

Type
Chapter
Information
Integrative Mechanobiology
Micro- and Nano- Techniques in Cell Mechanobiology
 , pp. 148 - 168
Publisher: Cambridge University Press
Print publication year: 2015

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