期刊
NATURE METHODS
卷 9, 期 7, 页码 697-710出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.2084
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资金
- US National Institutes of Health [R01 GM089652, RC2 GM092519]
- BBSRC [BB/G022585/1, BB/I000755/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/G022585/1, BB/I000755/1] Funding Source: researchfish
- Direct For Computer & Info Scie & Enginr [0808772] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems [0808772] Funding Source: National Science Foundation
Few technologies are more widespread in modern biological laboratories than imaging. Recent advances in optical technologies and instrumentation are providing hitherto unimagined capabilities. Almost all these advances have required the development of software to enable the acquisition, management, analysis and visualization of the imaging data. We review each computational step that biologists encounter when dealing with digital images, the inherent challenges and the overall status of available software for bioimage informatics, focusing on open-source options.
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