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Informatics and Quantitative Analysis in Biological Imaging
Open accessAbstract
Biological imaging is now a quantitative technique for probing cellular structure and dynamics and is increasingly used for cell-based screens. However, the bioinformatics tools required for hypothesis-driven analysis of digital images are still immature. We are developing the Open Microscopy Environment (OME) as an informatics solution for the storage and analysis of optical microscope image data. OME aims to automate image analysis, modeling, and mining of large sets of images and specifies a flexible data model, a relational database, and an XML-encoded file standard that is usable by potentially any software tool. With this design, OME provides a first step toward biological image informatics.
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Cited by
OMERO: flexible, model-driven data management for experimental biology
Allan, C., Burel, J.-M., Moore, J., Blackburn, C., Linkert, M., Loynton, S., MacDonald, D., Moore, W. J., Neves, C., Patterson, A., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1896 · Cited by 653
Self-citationExtensible visualization and analysis for multidimensional images using Vaa3D
Peng, H., Bria, A., Zhou, Z., Iannello, G., & Long, F. (2014) · Nature Protocols · doi:10.1038/nprot.2014.011 · Cited by 315
Compound Classification Using Image‐Based Cellular Phenotypes
Adams, C. L., Kutsyy, V., Coleman, D. A., Cong, G., Crompton, A. M., Elias, K. A., Oestreicher, D. R., Trautman, J. K., & Vaisberg, E. (2006) · Methods in Enzymology · doi:10.1016/s0076-6879(06)14024-0 · Cited by 51
Wang, T., Li, G., Wang, D., Li, F., Men, D., Hu, T., Xi, Y., & Zhang, X.-E. (2019) · Nanoscale · doi:10.1039/c9nr01105f · Cited by 22
Metadata
- Authors
- Swedlow, J. R., Goldberg, I., Brauner, E., & Sorger, P. K.
- Venue
- Science
- Published
- 2003-04-04
- Volume
- 300
- Issue
- 5616
- Pages
- 100-102
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2147385427
- Cited by
- 253
- References
- 0
- FWCI
- 14.83
- Type
- journal article
- Language
- en
- Open access
- green
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