Chemical crystal identification with deep learning machine vision.

Journal: BMC research notes
PMID: 30290837

Abstract

OBJECTIVE: This study was carried out with the purpose of testing the ability of deep learning machine vision to identify microscopic objects and geometries found in chemical crystal structures.

Authors

  • Perseverança Mungofa
    Soil and Water Science Department, Citrus Research and Education Center, University of Florida, 700 Experiment Station Rd, Lake Alfred, FL, 33850, USA.
  • Arnold Schumann
    Soil and Water Science Department, Citrus Research and Education Center, University of Florida, 700 Experiment Station Rd, Lake Alfred, FL, 33850, USA. schumaw@ufl.edu.
  • Laura Waldo
    Soil and Water Science Department, Citrus Research and Education Center, University of Florida, 700 Experiment Station Rd, Lake Alfred, FL, 33850, USA.

Keywords

External Resources

Popular Topics
Recent Journals