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Emerging Themes in CryoEM─Single Particle Analysis Image Processing.
Vilas, Jose Luis; Carazo, Jose Maria; Sorzano, Carlos Oscar S.
Afiliación
  • Vilas JL; Biocomputing Unit, Centro Nacional de Biotecnologia (CNB-CSIC), Darwin, 3, Campus Universidad Autonoma, 28049 Cantoblanco, Madrid, Spain.
  • Carazo JM; Biocomputing Unit, Centro Nacional de Biotecnologia (CNB-CSIC), Darwin, 3, Campus Universidad Autonoma, 28049 Cantoblanco, Madrid, Spain.
  • Sorzano COS; Biocomputing Unit, Centro Nacional de Biotecnologia (CNB-CSIC), Darwin, 3, Campus Universidad Autonoma, 28049 Cantoblanco, Madrid, Spain.
Chem Rev ; 122(17): 13915-13951, 2022 09 14.
Article en En | MEDLINE | ID: mdl-35785962
Cryo-electron microscopy (CryoEM) has become a vital technique in structural biology. It is an interdisciplinary field that takes advantage of advances in biochemistry, physics, and image processing, among other disciplines. Innovations in these three basic pillars have contributed to the boosting of CryoEM in the past decade. This work reviews the main contributions in image processing to the current reconstruction workflow of single particle analysis (SPA) by CryoEM. Our review emphasizes the time evolution of the algorithms across the different steps of the workflow differentiating between two groups of approaches: analytical methods and deep learning algorithms. We present an analysis of the current state of the art. Finally, we discuss the emerging problems and challenges still to be addressed in the evolution of CryoEM image processing methods in SPA.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen Individual de Molécula Idioma: En Revista: Chem Rev Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen Individual de Molécula Idioma: En Revista: Chem Rev Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos