SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM

被引:0
|
作者
Thorsten Wagner
Felipe Merino
Markus Stabrin
Toshio Moriya
Claudia Antoni
Amir Apelbaum
Philine Hagel
Oleg Sitsel
Tobias Raisch
Daniel Prumbaum
Dennis Quentin
Daniel Roderer
Sebastian Tacke
Birte Siebolds
Evelyn Schubert
Tanvir R. Shaikh
Pascal Lill
Christos Gatsogiannis
Stefan Raunser
机构
[1] Max Planck Institute of Molecular Physiology,Department of Structural Biochemistry
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Selecting particles from digital micrographs is an essential step in single-particle electron cryomicroscopy (cryo-EM). As manual selection of complete datasets—typically comprising thousands of particles—is a tedious and time-consuming process, numerous automatic particle pickers have been developed. However, non-ideal datasets pose a challenge to particle picking. Here we present the particle picking software crYOLO which is based on the deep-learning object detection system You Only Look Once (YOLO). After training the network with 200–2500 particles per dataset it automatically recognizes particles with high recall and precision while reaching a speed of up to five micrographs per second. Further, we present a general crYOLO network able to pick from previously unseen datasets, allowing for completely automated on-the-fly cryo-EM data preprocessing during data acquisition. crYOLO is available as a standalone program under http://sphire.mpg.de/ and is distributed as part of the image processing workflow in SPHIRE.
引用
收藏
相关论文
共 50 条
  • [41] Molecular Mechanisms Explained by Single Particle Cryo-Em
    Raunser, Stefan
    BIOPHYSICAL JOURNAL, 2017, 112 (03) : 14A - 14A
  • [42] Seeing Atoms by Single-Particle Cryo-EM
    Bai, Xiao-chen
    TRENDS IN BIOCHEMICAL SCIENCES, 2021, 46 (04) : 253 - 254
  • [43] Urdnet: A Cryo-EM Particle Automatic Picking Method
    Ouyang, Jianquan
    Zhang, Yue
    Fang, Kun
    Liu, Tianming
    Pan, Xiangyu
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (01): : 1593 - 1610
  • [44] Single-particle cryo-EM: beyond the resolution
    Armache, Jean-Paul
    Cheng, Yifan
    NATIONAL SCIENCE REVIEW, 2019, 6 (05) : 864 - 866
  • [45] Benchmarking cryo-EM Single Particle Analysis Workflow
    Kim, Laura Y.
    Rice, William J.
    Eng, Edward T.
    Kopylov, Mykhailo
    Cheng, Anchi
    Raczkowski, Ashleigh M.
    Jordan, Kelsey D.
    Bobe, Daija
    Potter, Clinton S.
    Carragher, Bridget
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2018, 5
  • [46] Cryo-EM and Single-Particle Analysis with Scipion
    Jimenez-Moreno, A.
    del Cano, L.
    Martinez, M.
    Ramirez-Aportela, E.
    Cuervo, A.
    Melero, R.
    Sanchez-Garcia, R.
    Strelak, D.
    Fernandez-Gimenez, E.
    de Isidro-Gomez, F. P.
    Herreros, D.
    Conesa, P.
    Fonseca, Y.
    Maluenda, D.
    Jimenez de la Morena, J.
    Macias, J. R.
    Losana, P.
    Marabini, R.
    Carazo, J. M.
    Sorzano, C. O. S.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2021, (171):
  • [47] New tools for automated cryo-EM single-particle analysis in RELION-4.0
    Kimanius, Dari
    Dong, Liyi
    Sharov, Grigory
    Nakane, Takanori
    Scheres, Sjors H. W.
    BIOCHEMICAL JOURNAL, 2021, 478 (24) : 4169 - 4185
  • [48] A clarification of the terms used in comparing semi-automated particle selection algorithms in Cryo-EM
    Langlois, Robert
    Frank, Joachim
    JOURNAL OF STRUCTURAL BIOLOGY, 2011, 175 (03) : 348 - 352
  • [49] Consistency Criterion for Particle Sorting in Single-Particle Cryo-EM
    Asarnow, Daniel
    Cheng, Yifan
    BIOPHYSICAL JOURNAL, 2018, 114 (03) : 418A - 418A
  • [50] Enabling Automated Cryo-EM Data Acquisition with Smart EPU
    Pryor, Edward
    Grollio, Fanis
    van Knippenbe, Bart
    Den, Yuchen
    Koh, Holger
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2023, 79 : A269 - A269