Wndchrm – an open source utility for biological image analysis |
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Authors: | Lior Shamir Nikita Orlov D Mark Eckley Tomasz Macura Josiah Johnston Ilya G Goldberg |
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Institution: | (1) Image Informatics and Computational Biology Unit, Laboratory of Genetics, NIA/NIH, 333 Cassell Dr, Baltimore, 21224, MD, USA;(2) Computer Laboratory, University of Cambridge, 15 Thomson Avenue, Cambridge, UK;(3) Energy and Resources Group, University of California Berkeley, 1519 Addison St, 94720-3050 Berkeley, CA, USA |
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Abstract: | Background Biological imaging is an emerging field, covering a wide range of applications in biological and clinical research. However,
while machinery for automated experimenting and data acquisition has been developing rapidly in the past years, automated
image analysis often introduces a bottleneck in high content screening. |
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