Arigovindan, Muthuvel and Fung, Jennifer C and Elnatan, Daniel and Mennella, Vito and Chan, Yee-Hung Mark and Pollard, Michael and Branlund, Eric and Sedat, John W and Agard, David A (2013) High-resolution restoration of 3D structures from widefield images with extreme low signal-to-noise-ratio. In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 110 (43). pp. 17344-17349.
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Abstract
Four-dimensional fluorescence microscopy-which records 3D image information as a function of time-provides an unbiased way of tracking dynamic behavior of subcellular components in living samples and capturing key events in complex macromolecular processes. Unfortunately, the combination of phototoxicity and photobleaching can severely limit the density or duration of sampling, thereby limiting the biological information that can be obtained. Although widefield microscopy provides a very light-efficient way of imaging, obtaining high-quality reconstructions requires deconvolution to remove optical aberrations. Unfortunately, most deconvolution methods perform very poorly at low signal-to-noise ratios, thereby requiring moderate photon doses to obtain acceptable resolution. We present a unique deconvolution method that combines an entropy-based regularization function with kernels that can exploit general spatial characteristics of the fluorescence image to push the required dose to extreme low levels, resulting in an enabling technology for high-resolution in vivo biological imaging.
Item Type: | Journal Article |
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Publication: | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA |
Publisher: | NATL ACAD SCIENCES |
Additional Information: | copyright for this article belongs to NATL ACAD SCIENCES |
Keywords: | 4D microscopy; low dose microscopy; noise-suppressing regularization |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 28 Nov 2013 11:47 |
Last Modified: | 28 Nov 2013 11:47 |
URI: | http://eprints.iisc.ac.in/id/eprint/47844 |
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