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Structured illumination approaches for super-resolution in plant cells
Author(s) -
Sidney L. Shaw,
David Thoms,
James Powers
Publication year - 2018
Publication title -
microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 52
eISSN - 2050-5701
pISSN - 2050-5698
DOI - 10.1093/jmicro/dfy043
Subject(s) - resolution (logic) , superresolution , computer science , remote sensing , artificial intelligence , geology , image (mathematics)
The advent of super-resolution techniques in biological microscopy has opened new frontiers for exploring the molecular distribution of proteins and small molecules in cells. Improvements in optical design and innovations in the approaches for the collection of fluorescence emission have produced substantial gains in signal from chemical labels and fluorescent proteins. Structuring the illumination to elicit fluorescence from specific or even random patterns allows the extraction of higher order spatial frequencies from specimens labeled with conventional probes. Application of this approach to plant systems for super-resolution imaging has been relatively slow owing in large part to aberrations incurred when imaging through the plant cell wall. In this brief review, we address the use of two prominent methods for generating super-resolution images in living plant specimens and discuss future directions for gaining better access to these techniques.

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