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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Rohr, Karl Godinez, William J. Harder, Nathalie Wörz, Stefan Mattes, Julian Tvaruskó, Wolfgang Eils, Roland |
| Abstract | Understanding complex cellular processes requires investigating the underlying mechanisms within a spatiotemporal context. Although cellular processes are dynamic in nature, most studies in molecular cell biology are based on fixed specimens, for example, using immunocytochemistry or fluorescence in situ hybridization (FISH). However, breakthroughs in fluorescence microscopy imaging techniques, in particular, the discovery of green fluorescent protein (GFP) and its spectral variants, have facilitated the study of a wide range of dynamic processes by allowing nondestructive labeling of target structures in living cells. In addition, the tremendous improvements in spatial and temporal resolution of light microscopes now allow cellular processes to be analyzed in unprecedented detail. These state-of-the-art imaging technologies, however, provide a huge amount of digital image data. To cope with the enormous amount of image data and to extract reproducible as well as quantitative information, computer-based image analysis is required. In this article, we describe methods for computer-based analysis of multidimensional live cell microscopy images and their application to study the dynamics of cells and particles. First, we sketch a general workflow for quantitative analysis of live cell images. Then, we detail computational methods for automatic image analysis comprising image preprocessing, segmentation, registration, tracking, and classification. We conclude with a discussion of quantitative analysis and systems biology. |
| File Format | HTM / HTML |
| ISSN | 19403402 |
| Issue Number | 6 |
| Volume Number | 2010 |
| e-ISSN | 15596095 |
| Journal | Cold Spring Harbor Protocols |
| Language | English |
| Publisher | Cold Spring Harbor Laboratory Press |
| Publisher Date | 2010-06-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Clinical Laboratory Techniques Cell Movement Cells Metabolism Image Processing, Computer-assisted Methods Animals Cell Nucleus Cercopithecus Aethiops Hiv-1 Hela Cells Humans Systems Biology Vero Cells Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biochemistry, Genetics and Molecular Biology |
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