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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-10-01
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Series: | BMC Research Notes |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13104-018-3813-8 |