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Automated fiducial-based alignment of cryo-electron tomography tilt series in Dynamo.
Coray, Raffaele; Navarro, Paula; Scaramuzza, Stefano; Stahlberg, Henning; Castaño-Díez, Daniel.
Afiliación
  • Coray R; Instituto Biofisika (Consejo Superior de Investigaciones Científicas, Universidad del País Vasco), University of Basque Country, 48940 Leioa, Spain.
  • Navarro P; Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland; Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, 1015 Lausanne, Switzerland.
  • Scaramuzza S; Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland.
  • Stahlberg H; Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland; Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, EPFL, and Department of Fundamental Microbiology, Faculty of Biology and
  • Castaño-Díez D; Instituto Biofisika (Consejo Superior de Investigaciones Científicas, Universidad del País Vasco), University of Basque Country, 48940 Leioa, Spain; Center for Cellular Imaging and NanoAnalytics (C-CINA), Biozentrum, University of Basel, Mattenstrasse 26, CH-4058 Basel, Switzerland. Electronic addre
Structure ; 2024 Jul 22.
Article en En | MEDLINE | ID: mdl-39079528
ABSTRACT
With the advent of modern technologies for cryo-electron tomography (cryo-ET), high-quality tilt series are more rapidly acquired than processed and analyzed. Thus, a robust and fast-automated alignment for batch processing in cryo-ET is needed. While different software packages have made available several approaches for automated marker-based alignment of tilt series, manual user intervention remains necessary for many datasets, thus preventing high-throughput tomography. We have developed a MATLAB-based framework integrated into the Dynamo software package for automatic detection of fiducial markers that generates a robust alignment model with minimal input parameters. This approach allows high-throughput, unsupervised volume reconstruction. This new module extends Dynamo with a large repertory of tools for tomographic alignment and reconstruction, as well as specific visualization browsers to rapidly assess the biological relevance of the dataset. Our approach has been successfully tested on a broad range of datasets that include diverse biological samples and cryo-ET modalities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Structure Asunto de la revista: BIOLOGIA MOLECULAR / BIOQUIMICA / BIOTECNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Structure Asunto de la revista: BIOLOGIA MOLECULAR / BIOQUIMICA / BIOTECNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos