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Scattering correction through a space-variant blind deconvolution algorithm.
J. Biomed. Opt. 21:96005 (2016)
cattering 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 μm.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
scattering correction; three-dimensional imaging; selective plane illumination microscope; blind deconvolution; Plane Illumination Microscopy; Reconstruction; Restoration; Images; Isra
ISSN (print) / ISBN
1083-3668
e-ISSN
1560-2281
Journal
Journal of Biomedical Optics
Quellenangaben
Volume: 21,
Issue: 9,
Article Number: 96005
Publisher
SPIE
Publishing Place
Bellingham
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)