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ImageJ: Image Analysis Interoperability for the Next Generation of Biological Image Data

Published online by Cambridge University Press:  25 July 2016

Curtis T. Rueden
Affiliation:
Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA
Mark C. Hiner
Affiliation:
Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA
Kevin W. Eliceiri
Affiliation:
Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, Wisconsin, USA Morgridge Institute for Research, Madison, Wisconsin, USA

Abstract

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Type
Abstract
Copyright
© Microscopy Society of America 2016 

References

References:

[1] Schneider, CA, Rasband, WS & Eliceiri, KW Nature Methods 9 (2012). p. 671.CrossRefGoogle Scholar
[2] Schindelin, J, Arganda-Carreras, I, Frise, E, Kaynig, V, Longair, M, Pietzsch, T, Preibisch, S, Rueden, C, Saalfeld, S, Schmid, B, Tinevez, JY, White, DJ, Hartenstein, V, Eliceiri, K, Tomancak, P & Cardona, A Nature Methods 9 (2012). p 676.CrossRefGoogle Scholar
[3] Schindelin, J, Rueden, CT, Hiner, MC & Eliceiri, KW Mol Reprod Dev 82 (2015). p 518.Google Scholar
[4] The authors acknowledge funding from NIH grants R03 EB008516 and RC2 GM092519.Google Scholar