| Literature DB >> 24747812 |
Stephan Preibisch1, Fernando Amat2, Evangelia Stamataki3, Mihail Sarov3, Robert H Singer4, Eugene Myers5, Pavel Tomancak3.
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.Entities:
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Year: 2014 PMID: 24747812 PMCID: PMC4153441 DOI: 10.1038/nmeth.2929
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547