(Machine-)Learning to analyze in vivo microscopy: Support vector machines-Reference-Cited by-同舟云学术

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(Machine-)Learning to analyze in vivo microscopy: Support vector machines

Published:2017-11 Issue:11 Volume:1865 Page:1719-1727
ISSN:1570-9639
Container-title:Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
language:en
Short-container-title:Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics

Author:

Wang Michael F.Z.,Fernandez-Gonzalez Rodrigo

Funder

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

Translational Biology and Engineering Program of the Ted Rogers Centre for Heart Research

Canada First Research Excellence Fund

Ontario Ministry of Research and Innovation

Publisher

Elsevier BV

Subject

Molecular Biology,Biochemistry,Biophysics,Analytical Chemistry

Reference52 articles.

1. Super-resolution microscopy: from single molecules to supramolecular assemblies;Sydor;Trends Cell Biol.,2015

2. A guide to light-sheet fluorescence microscopy for multiscale imaging;Power;Nat. Methods,2017

3. Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy;Keller;Science,2008

4. Quantitative high-speed imaging of entire developing embryos with simultaneous multiview light-sheet microscopy;Tomer;Nat. Methods,2012

5. In vivo single-molecule imaging identifies altered dynamics of calcium channels in dystrophin-mutant C. elegans;Zhan;Nat. Commun.,2014

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