Macromolecule particle picking and segmentation of a klh database by unsupervised cryo-em image processing

HIGHLIGHTS

• who: Miguel Carrasco and collaborators from the Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibañez, AvDiagonal Las Torres , have published the research: Macromolecule Particle Picking and Segmentation of a KLH Database by Unsupervised Cryo-EM Image Processing, in the Journal: (JOURNAL)
• what: This work proposes a new unsupervised particle picking and segmentation algorithm based on the composition of two well-known filters: Anisotropic (Perona-Malik) diffusion and non-negative matrix factorization. The authors propose an unsupervised filter by means of cepstrum analysis . The macromolecules used in this study had both top and side . . .
  

   

  

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