Real-time multi-view deconvolution
Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
arXiv:1503.07998 [q-bio.QM], (27 Mar 2015)
@article{schmid2015realtime,
title={Real-time multi-view deconvolution},
author={Schmid, Benjamin and Huisken, Jan},
year={2015},
month={mar},
archivePrefix={"arXiv"},
primaryClass={q-bio.QM}
}
In light-sheet microscopy, overall image content and resolution are improved by acquiring and fusing multiple views of the sample from different directions. State-of-the-art multi-view (MV) deconvolution employs the point spread functions (PSF) of the different views to simultaneously fuse and deconvolve the images in 3D, but processing takes a multiple of the acquisition time and constitutes the bottleneck in the imaging pipeline. Here we show that MV deconvolution in 3D can finally be achieved in real-time by reslicing the acquired data and processing cross-sectional planes individually on the massively parallel architecture of a graphics processing unit (GPU).
March 30, 2015 by hgpu
