Efficient Bayesian-based multiview deconvolution

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Item Type:	Article
Title:	Efficient Bayesian-based multiview deconvolution
Creators Name:	Preibisch, S., Amat, F., Stamataki, E., Sarov, M., Singer, R.H., Myers, E. and Tomancak, P.
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.
Keywords:	Fluorescence Imaging, Light-sheet Microscopy, Image Processing, Software
Source:	Nature Methods
ISSN:	1548-7091
Publisher:	Nature Publishing Group
Volume:	11
Number:	6
Page Range:	645-648
Date:	June 2014
Official Publication:	https://doi.org/10.1038/nmeth.2929
PubMed:	View item in PubMed

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