Scattering correction through a space-variant blind deconvolution algorithm

J Biomed Opt. 2016 Sep 1;21(9):96005. 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???m.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Animals
  • Embryo, Nonmammalian / diagnostic imaging
  • Imaging, Three-Dimensional / methods*
  • Microscopy
  • Scattering, Radiation*
  • Zebrafish