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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Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	BMC 2018-03-01
Col·lecció:	BMC Bioinformatics
Matèries:	Image analysis Deep learning Machine learning Focus Defocus Image quality
Accés en línia:	http://link.springer.com/article/10.1186/s12859-018-2087-4
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