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arXiv · 1503.07998

Real-time multi-view deconvolution

Benjamin Schmid·Jan Huisken
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Abstract

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).

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Benjamin Schmid, Jan Huisken. 2015-03-27. Real-time multi-view deconvolution. https://arxiv.org/abs/1503.07998

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