12 September 2016 Scattering correction through a space-variant blind deconvolution algorithm
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Benno Koberstein-Schwarz, Lars Omlor, Tobias Schmitt-Manderbach, Timo Mappes, Vasilis Ntziachristos, "Scattering correction through a space-variant blind deconvolution algorithm," Journal of Biomedical Optics 21(9), 096005 (12 September 2016). https://doi.org/10.1117/1.JBO.21.9.096005 . Submission:

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