Maximum-likelihood model fitting for quantitative analysis of smlm data

HIGHLIGHTS

  • who: Yu-Le Wu from the (UNIVERSITY) have published the article: Maximum-likelihood model fitting for quantitative analysis of SMLM data, in the Journal: (JOURNAL) of 19/Nov/2021
  • what: To analyzing complex, heterogeneous and dynamic structures for in situ structural biology, the authors demonstrate how LocMoFit can assemble multi-protein distribution maps of six nuclear pore components, calculate single-pArticle averages without any assumption about geometry or symmetry, and perform a time-resolved reconstruction of the highly dynamic endocytic process from static snapshots. The authors provide extensive simulation and visualization routines to validate the . . .

     

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