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 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.