Machine learning framework to segment sarcomeric structures in smlm data

HIGHLIGHTS

• who: Du00e1niel Varga from the DepartmentUniversity of have published the Article: Machine learning framework to segment sarcomeric structures in SMLM data, in the Journal: Scientific Reports Scientific Reports
• what: The reason of this shortening is that most of the localizations belonging to double lines are densely surrounded by other localizations, while localizations at the ends of the lines are not surrounded as densely by other localizations, and the distance between nearest neighbors starts to shift towards larger values. This work has shown that training data generated by a simulation software is of satisfactory quality for . . .
  

   

  

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