Real-time multi-view deconvolution

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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 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.

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APA

Schmid, B., & Huisken, J. (2015). Real-time multi-view deconvolution. Bioinformatics, 31(20), 3398–3400. https://doi.org/10.1093/bioinformatics/btv387

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