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Bioimage Informatics for Experimental Biology
被引:68
|作者:
Swedlow, Jason R.
[1
]
Goldberg, Ilya G.
[2
]
Eliceiri, Kevin W.
[3
]
机构:
[1] Univ Dundee, Wellcome Trust Ctr Gene Regulat & Express, Coll Life Sci, Dundee DD1 5EH, Scotland
[2] NIA, Image Informat & Computat Biol Unit, Genet Lab, IRP,NIH,Biomed Res Ctr, Baltimore, MD 21224 USA
[3] Univ Wisconsin, Lab Opt & Computat Instrumentat, Madison, WI 53706 USA
基金:
英国工程与自然科学研究理事会;
英国惠康基金;
英国生物技术与生命科学研究理事会;
关键词:
microscopy;
file formats;
image management;
image analysis;
image processing;
FLUORESCENCE MICROSCOPY;
QUANTITATIVE-ANALYSIS;
SYSTEMS BIOLOGY;
OPEN TOOLS;
IMAGE DATA;
DATABASE;
COMMUNITY;
PATTERNS;
ONTOLOGY;
D O I:
10.1146/annurev.biophys.050708.133641
中图分类号:
Q6 [生物物理学];
学科分类号:
071011 ;
摘要:
Over the past twenty years there have been great advances in light microscopy with the result that multidimensional imaging has driven a revolution in modern biology. The development of new approaches of data acquisition is reported frequently, and yet the significant data management and analysis challenges presented by these new complex datasets remain largely unsolved. As in the well-developed field of genome bioinformatics, central repositories are and will be key resources, but there is a critical need for informatics tools in individual laboratories to help manage, share, visualize, and analyze image data. In this article we present the recent efforts by the bioimage informatics community to tackle these challenges, and discuss our own vision for future development of bioimage informatics solutions.
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页码:327 / 346
页数:20
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