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CryoDiscoveryTM: A Machine Learning Platform for Automated Cryo-electron Microscopy Particle Classification

Published online by Cambridge University Press:  30 July 2020

Narasimha Kumar ,
John Harkness ,
Craig Yoshioka ,
Shiva Aditham ,
Tuan Phamdo  and
Kennedy Brown
Narasimha Kumar
Affiliation:
Health Technology Innovations, Portland, Oregon, United States
John Harkness
Affiliation:
Rewire Neuroscience, Portland, Oregon, United States
Craig Yoshioka
Affiliation:
Oregon Health & Science University, Portland, Oregon, United States
Shiva Aditham
Affiliation:
Health Technology Innovations, Portland, Oregon, United States
Tuan Phamdo
Affiliation:
Health Technology Innovations, Portland, Oregon, United States
Kennedy Brown
Affiliation:
Health Technology Innovations, Portland, Oregon, United States

Abstract

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Type
Image Processing Developments in Cryo-EM
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 2308 - 2310
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Copyright
Copyright © Microscopy Society of America 2020

References

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Ndajah, P., et al. SSIM image quality metric for denoised images. in Proc. 3rd WSEAS Int. Conf. on Visualization, Imaging and Simulation. 2010.Google Scholar
Brunet, D., A study of the structural similarity image quality measure with applications to image processing. 2012.Google Scholar