Real-time multi-view deconvolution.

Schmid, Benjamin; Huisken, Jan

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Real-time multi-view deconvolution.

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Schmid, Benjamin
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Huisken, Jan
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

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Schmid, B., & Huisken, J. (2015). Real-time multi-view deconvolution. Bioinformatics (Oxford, England), 31(20), 3398-3400.

Cite as: https://hdl.handle.net/21.11116/0000-0001-049F-8

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 simultaneously fuses and deconvolves 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 processing cross-sectional planes individually on the massively parallel architecture of a graphics processing unit (GPU). Our approximation is valid in the typical case where the rotation axis lies in the imaging plane.