Chemical crystal identification with deep learning machine vision

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. Results A database of 6994 images taken with a light microscope showing microscopic crystal detai...

Full description

Bibliographic Details
Main Authors: Perseverança Mungofa, Arnold Schumann, Laura Waldo
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Research Notes
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13104-018-3813-8