Representing Steerable Bases for cryo-EM in ASPIRE

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

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.