@article{578c82e4b9d6484b81f5d473ea7bb23d,
title = "Efficient bayesian-based multiview deconvolution",
abstract = "Light-sheet fluorescence microscopy is able to image large specimens with high resolution by capturing the samples from multiple angles. Multiview deconvolution can substantially improve the resolution and contrast of the images, but its application has been limited owing to the large size of the data sets. Here we present a Bayesian-based derivation of multiview deconvolution that drastically improves the convergence time, and we provide a fast implementation using graphics hardware.",
author = "Stephan Preibisch and Fernando Amat and Evangelia Stamataki and Mihail Sarov and Singer, {Robert H.} and Eugene Myers and Pavel Tomancak",
note = "Funding Information: code and helpful discussions; M. Weber for imaging the Drosophila time series; S. Jaensch for preparing the C. elegans embryo; J.K. Liu (Cornell University) for the LW698 strain; S. Saalfeld for help with 3D rendering; P.J. Keller for supporting F.A. and for the DSLM-SI data set; A. Cardona for access to his computer; and Carl Zeiss Microimaging for providing us with the SPIM prototype. S.P. was supported by MPI-CBG in P.T.{\textquoteright}s lab, Howard Hughes Medical Institute (HHMI) in E.M.{\textquoteright}s lab and the Human Frontier Science Program (HFSP) Postdoctoral Fellowship LT000783/2012 in R.H.S.{\textquoteright}s lab, with additional support from US National Institutes of Health (NIH) GM57071. F.A. was supported by HHMI in P.J. Keller{\textquoteright}s lab. E.S. and M.S. were supported by MPI-CBG. R.H.S. was supported by NIH grants GM057071, EB013571 and NS083085. E.M. was supported by HHMI and MPI-CBG. P.T. was supported by The European Research Council Community{\textquoteright}s Seventh Framework Program (FP7/2007-2013) grant agreement 260746 and the HFSP Young Investigator grant RGY0093/2012. M.S., E.M. and P.T. were additionally supported by the Bundesministerium f{\"u}r Bildung und Forschung grant 031A099.",
year = "2014",
month = jun,
doi = "10.1038/nmeth.2929",
language = "English (US)",
volume = "11",
pages = "645--648",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Nature Publishing Group",
number = "6",
}