Assessing microscope image focus quality with deep learning

Assessing microscope image focus quality with deep learning

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 obtain...

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Bibliographic Details
Main Authors: Yang, Samuel J, Berndl, Marc, Michael Ando, D., Narayanaswamy, Arunachalam, Christiansen, Eric, Hoyer, Stephan, Roat, Chris, Rueden, Curtis T, Shankar, Asim, Finkbeiner, Steven, Nelson, Philip, Yang, Samuel J., Rueden, Curtis T., Barch, Mariya, Hung, Jane Yen
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: BioMed Central 2018
Online Access:http://hdl.handle.net/1721.1/114668

Internet

http://hdl.handle.net/1721.1/114668

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