Scattering correction through a space-variant blind deconvolution algorithm

Benno KS, Lars O, Tobias SM, Timo M, Vasilis N (2016)

Publication Type: Journal article

Publication year: 2016

Journal

Journal of Biomedical Optics Society of Photo-optical Instrumentation Engineers (SPIE)

Book Volume: 21

Article Number: 096005

Journal Issue: 9

DOI: 10.1117/1.JBO.21.9.096005

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 μm.

Involved external institutions

Carl Zeiss AG DE Germany (DE) Carl Zeiss Vision GmbH DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Benno, K.-S., Lars, O., Tobias, S.-M., Timo, M., & Vasilis, N. (2016). Scattering correction through a space-variant blind deconvolution algorithm. Journal of Biomedical Optics, 21(9). https://dx.doi.org/10.1117/1.JBO.21.9.096005

MLA:

Benno, Koberstein-Schwarz, et al. "Scattering correction through a space-variant blind deconvolution algorithm." Journal of Biomedical Optics 21.9 (2016).

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