Hostname: page-component-7bb8b95d7b-dtkg6 Total loading time: 0 Render date: 2024-09-11T17:25:35.411Z Has data issue: false hasContentIssue false

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

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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