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Tiled Reconstruction Improves Structured Illumination Microscopy

View ORCID ProfileDavid P. Hoffman, Eric Betzig
doi: https://doi.org/10.1101/2020.01.06.895318
David P. Hoffman
1HHMI Janelia Research Campus, Ashburn, VA 20147, USA
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  • For correspondence: dave.p.hoffman@gmail.com betzige@janelia.hhmi.org
Eric Betzig
1HHMI Janelia Research Campus, Ashburn, VA 20147, USA
2Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA
3Department of Physics, University of California, Berkeley, CA 94720, USA
4Howard Hughes Medical Institute, Berkeley, CA 94720, USA
5Helen Wills Neuroscience Institute, Berkeley, CA 94720, USA
6Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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  • For correspondence: dave.p.hoffman@gmail.com betzige@janelia.hhmi.org
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Abstract

Structured illumination microscopy (SIM) is widely used for fast, long-term, live-cell super-resolution imaging. However, SIM images can contain substantial artifacts if the sample does not conform to the underlying assumptions of the reconstruction algorithm. Here we describe a simple, easy to implement, process that can be combined with any reconstruction algorithm to alleviate many common SIM reconstruction artifacts and briefly discuss possible extensions.

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Posted January 11, 2020.
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Tiled Reconstruction Improves Structured Illumination Microscopy
David P. Hoffman, Eric Betzig
bioRxiv 2020.01.06.895318; doi: https://doi.org/10.1101/2020.01.06.895318
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Tiled Reconstruction Improves Structured Illumination Microscopy
David P. Hoffman, Eric Betzig
bioRxiv 2020.01.06.895318; doi: https://doi.org/10.1101/2020.01.06.895318

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