Efficient bayesian multi-view deconvolution
Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
arXiv:1308.0730 [q-bio.QM], (3 Aug 2013)
Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the samples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application has been limited due to the large size of the datasets. Here we present a derivation of multi-view Bayesian deconvolution that drastically improves the convergence time and provide a GPU implementation that optimizes runtime performance.
August 6, 2013 by hgpu
