2020
DOI: 10.1101/2020.08.26.267732
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3D Deconvolution Processing for STEM Cryo-Tomography

Abstract: The complex environment of biological cells and tissues has motivated development of three dimensional imaging in both light and electron microscopies. To this end, one of the primary tools in fluorescence microscopy is that of computational deconvolution. Wide-field fluorescence images are often corrupted by haze due to out-of-focus light, i.e., to cross-talk between different object planes as represented in the 3D image. Using prior understanding of the image formation mechanism, it is possible to suppress t… Show more

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