Literature DB >> 29113849

Marker-free method for accurate alignment between correlated light, cryo-light, and electron cryo-microscopy data using sample support features.

Karen L Anderson1, Christopher Page1, Mark F Swift1, Dorit Hanein1, Niels Volkmann2.   

Abstract

Combining fluorescence microscopy with electron cryo-tomography allows, in principle, spatial localization of tagged macromolecular assemblies and structural features within the cellular environment. To allow precise localization and scale integration between the two disparate imaging modalities, accurate alignment procedures are needed. Here, we describe a marker-free method for aligning images from light or cryo-light fluorescence microscopy and from electron cryo-microscopy that takes advantage of sample support features, namely the holes in the carbon film. We find that the accuracy of this method, as judged by prediction errors of the hole center coordinates, is better than 100 nm.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Algorithm; Alignment; Cellular tomography; Cryo-EM; cLEM

Mesh:

Substances:

Year:  2017        PMID: 29113849      PMCID: PMC5748349          DOI: 10.1016/j.jsb.2017.11.001

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  33 in total

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8.  Correlated light and electron cryo-microscopy.

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  9 in total

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9.  Cryogenic single-molecule fluorescence annotations for electron tomography reveal in situ organization of key proteins in Caulobacter.

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  9 in total

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