Representing Steerable Bases for cryo-EM in ASPIRE

Christopher Langfield, Joshua Carmichael, Garrett Wright, Joakim Anden, Amit Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An introduction to the mathematical problem of cryo-electron microscopy (cryo-EM) is given, along with an overview of ASPIRE, an open-source Python package for processing cryo-EM image data. ASPIRE uses unique Fourier basis representations for images of cryo-EM particles. The challenge of representing these mathematical structures within the ASPIRE codebase was addressed by building an extensible class hierarchy using mixins.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages417-418
Number of pages2
ISBN (Electronic)9781665461245
DOIs
StatePublished - 2022
Event18th IEEE International Conference on e-Science, eScience 2022 - Salt Lake City, United States
Duration: Oct 10 2022Oct 14 2022

Publication series

NameProceedings - 2022 IEEE 18th International Conference on e-Science, eScience 2022

Conference

Conference18th IEEE International Conference on e-Science, eScience 2022
Country/TerritoryUnited States
CitySalt Lake City
Period10/10/2210/14/22

All Science Journal Classification (ASJC) codes

  • Library and Information Sciences
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation

Keywords

  • aspire
  • cryo electron microscopy
  • cryo EM
  • fourier bessel
  • mixins
  • open source
  • python
  • scientific software
  • steerable basis

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