Boguslaw Obara
Bacterial cell identification in differential interference contrast microscopy images
Obara, Boguslaw; Roberts, Mark A.J.; Armitage, Judith P.; Grau, Vicente
Authors
Mark A.J. Roberts
Judith P. Armitage
Vicente Grau
Abstract
Background: Microscopy image segmentation lays the foundation for shape analysis, motion tracking, and classification of biological objects. Despite its importance, automated segmentation remains challenging for several widely used non-fluorescence, interference-based microscopy imaging modalities. For example in differential interference contrast microscopy which plays an important role in modern bacterial cell biology. Therefore, new revolutions in the field require the development of tools, technologies and work-flows to extract and exploit information from interference-based imaging data so as to achieve new fundamental biological insights and understanding. Results: We have developed and evaluated a high-throughput image analysis and processing approach to detect and characterize bacterial cells and chemotaxis proteins. Its performance was evaluated using differential interference contrast and fluorescence microscopy images of Rhodobacter sphaeroides. Conclusions: Results demonstrate that the proposed approach provides a fast and robust method for detection and analysis of spatial relationship between bacterial cells and their chemotaxis proteins.
Citation
Obara, B., Roberts, M. A., Armitage, J. P., & Grau, V. (2013). Bacterial cell identification in differential interference contrast microscopy images. BMC Bioinformatics, 14, Article 134. https://doi.org/10.1186/1471-2105-14-134
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 11, 2013 |
Online Publication Date | Apr 23, 2013 |
Publication Date | Apr 23, 2013 |
Deposit Date | Jan 16, 2015 |
Publicly Available Date | Aug 25, 2015 |
Journal | BMC Bioinformatics |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Article Number | 134 |
DOI | https://doi.org/10.1186/1471-2105-14-134 |
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Copyright Statement
© 2013 Obara et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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