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Particle Picking in Cryo-TEM Images Using Machine Learning

Published online by Cambridge University Press:  30 July 2020

Jovany Merham
Affiliation:
University of California-Irvine, Irvine, California, United States
Alexander Rakowski
Affiliation:
University of California-Irvine, Irvine, California, United States
Joesph Patterson
Affiliation:
University of California-Irvine, Irvine, California, United States
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Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Copyright
Copyright © Microscopy Society of America 2020

References

Sigworth, F. J. (n.d.). Principles of cryo-EM single-particle image processing. 65(1), 5767. https://doi.org/10.1093/jmicro/dfv370Google Scholar
Iudin, A., Korir, P.K., Salavert-Torres, J., Kleywegt, G.J. & Patwardhan, A.. “EMPIAR: A public archive for raw electron microscopy image data.” Nature Methods 13 (2016). https://dx.doi.org/10.1038/nmeth.3806CrossRefGoogle ScholarPubMed
Image segmentation with Mask R-CNN - Jonathan Hui - Medium. (n.d.). Retrieved February 18, 2020, from https://medium.com/@jonathan_hui/image-segmentation-with-mask-rcnnebe6d793272Google Scholar
Kayalibay, B., Jensen, G., & van der Smagt, P. (2017). CNN-based Segmentation of Medical Imaging Data. Retrieved from http://arxiv.org/abs/1701.03056Google Scholar
Groschner, C., Choi, C., Nguyen, D., Ophus, C., & Scott, M. (2019). Machine Learning for High Throughput HRTEM Analysis. Microscopy and Microanalysis, 25(S2), 150151. https://doi.org/10.1017/s143192761900148xCrossRefGoogle Scholar
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Particle Picking in Cryo-TEM Images Using Machine Learning
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