Computational image analysis
Image analysis in fluorescence microscopy: Bacterial dynamics as a case study
Article first published online: 13 MAR 2012
Copyright © 2012 WILEY Periodicals, Inc.
Special Issue: Light Microscopy
Volume 34, Issue 5, pages 427–436, May 2012
How to Cite
van Teeffelen, S., Shaevitz, J. W. and Gitai, Z. (2012), Image analysis in fluorescence microscopy: Bacterial dynamics as a case study. Bioessays, 34: 427–436. doi: 10.1002/bies.201100148
- Issue published online: 16 APR 2012
- Article first published online: 13 MAR 2012
- computational image analysis;
- fluorescence microscopy
Fluorescence microscopy is the primary tool for studying complex processes inside individual living cells. Technical advances in both molecular biology and microscopy have made it possible to image cells from many genetic and environmental backgrounds. These images contain a vast amount of information, which is often hidden behind various sources of noise, convoluted with other information and stochastic in nature. Accessing the desired biological information therefore requires new tools of computational image analysis and modeling. Here, we review some of the recent advances in computational analysis of images obtained from fluorescence microscopy, focusing on bacterial systems. We emphasize techniques that are readily available to molecular and cell biologists but also point out examples where problem-specific image analyses are necessary. Thus, image analysis is not only a toolkit to be applied to new images but also an integral part of the design and implementation of a microscopy experiment.