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J Biomed Opt. 2016 Sep 1;21(9):96005. doi: 10.1117/1.JBO.21.9.096005.

Scattering correction through a space-variant blind deconvolution algorithm.

Author information

1
Carl Zeiss AG, Corporate Research and Technology, Carl-Zeiss-Promenade 10, 07745 Jena, GermanybInstitute for Biological and Medical Imaging, Technische Universität München and Helmholtz Zentrum, München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
2
Carl Zeiss AG, Corporate Research and Technology, Carl-Zeiss-Promenade 10, 07745 Jena, Germany.
3
Carl Zeiss Vision International GmbH, Technology and Innovation, Turnstr. 27, 73430 Aalen, Germany.
4
Institute for Biological and Medical Imaging, Technische Universität München and Helmholtz Zentrum, München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.

Abstract

Scattering within biological samples limits the imaging depth and the resolution in microscopy. We present a prior and regularization approach for blind deconvolution algorithms to correct the influence of scattering to increase the imaging depth and resolution. The effect of the prior is demonstrated on a three-dimensional image stack of a zebrafish embryo captured with a selective plane illumination microscope. Blind deconvolution algorithms model the recorded image as a convolution between the distribution of fluorophores and a point spread function (PSF). Our prior uses image information from adjacent z-planes to estimate the unknown blur in tissue. The increased size of the PSF due to the cascading effect of scattering in deeper tissue is accounted for by a depth adaptive regularizer model. In a zebrafish sample, we were able to extend the point in depth, where scattering has a significant effect on the image quality by around 30???m.

PMID:
27618289
DOI:
10.1117/1.JBO.21.9.096005
[Indexed for MEDLINE]
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