Assessing microscope image focus quality with deep learning

Assessing microscope image focus quality with deep learning

Abstract Background Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image analysis with high accuracy is important for obtaining a cl...

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Bibliographic Details
Main Authors: Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Image analysis
Deep learning
Machine learning
Focus
Defocus
Image quality
Online Access:http://link.springer.com/article/10.1186/s12859-018-2087-4

Internet

http://link.springer.com/article/10.1186/s12859-018-2087-4

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