K-factor image deshadowing for three-dimensional fluorescence microscopy.
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ABSTRACT: The ability to track single fluorescent particles within a three dimensional (3D) cellular environment can provide valuable insights into cellular processes. In this paper, we present a modified nonlinear image decomposition technique called K-factor that reshapes the 3D point spread function (PSF) of an XYZ image stack into a narrow Gaussian profile. The method increases localization accuracy by ~60% with compare to regular Gaussian fitting, and improves minimal resolvable distance between overlapping PSFs by ~50%. The algorithm was tested both on simulated data and experimentally.
SUBMITTER: Ilovitsh T
PROVIDER: S-EPMC4558540 | biostudies-other | 2015
REPOSITORIES: biostudies-other
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