Real-time multi-view deconvolution

Schmid B, Huisken J (2015)

Publication Type: Journal article

Publication year: 2015

Journal

Bioinformatics Oxford University Press (OUP): Policy B - Oxford Open Option B

Book Volume: 31

Pages Range: 3398-3400

Journal Issue: 20

DOI: 10.1093/bioinformatics/btv387

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.

Authors with CRIS profile

Benjamin Schmid

Involved external institutions

Max-Planck-Institut für molekulare Zellbiologie und Genetik / Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) DE Germany (DE)

How to cite

APA:

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

MLA:

Schmid, Benjamin, and Jan Huisken. "Real-time multi-view deconvolution." Bioinformatics 31.20 (2015): 3398-3400.

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