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Development of basic building blocks for cryo-EM: the emcore and emvis software libraries.

José Miguel de la Rosa-TrevínPedro Alberto Hernández VigaJoaquin OtónErik Lindahl
Published in: Acta crystallographica. Section D, Structural biology (2020)
Image-processing software has always been an integral part of structure determination by cryogenic electron microscopy (cryo-EM). Recent advances in hardware and software are recognized as one of the key factors in the so-called cryo-EM resolution revolution. Increasing computational power has opened many possibilities to consider more demanding algorithms, which in turn allow more complex biological problems to be tackled. Moreover, data processing has become more accessible to many experimental groups, with computations that used to last for many days at supercomputing facilities now being performed in hours on personal workstations. All of these advances, together with the rapid expansion of the community, continue to pose challenges and new demands on the software-development side. In this article, the development of emcore and emvis, two basic software libraries for image manipulation and data visualization in cryo-EM, is presented. The main goal is to provide basic functionality organized in modular components that other developers can reuse to implement new algorithms or build graphical applications. An additional aim is to showcase the importance of following established practices in software engineering, with the hope that this could be a first step towards a more standardized way of developing and distributing software in the field.
Keyphrases
  • data analysis
  • deep learning
  • electron microscopy
  • machine learning
  • mental health
  • healthcare
  • primary care
  • electronic health record
  • big data
  • molecularly imprinted
  • quantum dots