scNodes: a correlation and processing toolkit for super-resolution fluorescence and electron microscopy

Author(s):
Last, M.G.F. (0000-0002-3739-8863); Voortman, L.M. (0000-0001-9794-067X); Sharp, T.H.
Published
2023
Publication type
Article / Letter to editor

Abstract

Correlative cryo-super resolution light and cryo-electron microscopy (SR-cryoCLEM) is an upcoming method that promises to enable accurately targeted, high-resolution in situ structure determination by combining the specificity of fluorescent labelling with the high resolution of cryoEM. As it is a novel and rapidly developing method, there is currently no dedicated open-source software available for data processing, and current implementations rely instead on numerous disjointed software packages for processing and visualization. Here, we present a solution: an open-source, standalone processing suite called ‘scNodes,’ that is specialized for (but not limited to) SR-cryoCLEM and can be used for super-resolution fluorescence data processing, image correlation, and fluorescence-guided particle picking for cryoEM.

Date issued
2023
Language
English
Publisher
Nature Research
Is part of
Nature Methods (2023), Vol. 20, p. 1445-1446
hdl
1887/3763971
doi
10.1038/s41592-023-01991-z
URL
https://www.nature.com/articles/s41592-023-01991-z