CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy

George, Assaiya et al. develop a deep learning tool, CASSPER, that automates the detection of protein particles in transmission microscope images. This algorithm uses semantic segmentation and visually prepared training samples to capture the differences in the transmission intensities of microscope...

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Autores principales: Blesson George, Anshul Assaiya, Robin J. Roy, Ajit Kembhavi, Radha Chauhan, Geetha Paul, Janesh Kumar, Ninan S. Philip
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ac44a665905d4502a0e70a0390fc2cd0
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spelling oai:doaj.org-article:ac44a665905d4502a0e70a0390fc2cd02021-12-02T14:03:56ZCASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy10.1038/s42003-021-01721-12399-3642https://doaj.org/article/ac44a665905d4502a0e70a0390fc2cd02021-02-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01721-1https://doaj.org/toc/2399-3642George, Assaiya et al. develop a deep learning tool, CASSPER, that automates the detection of protein particles in transmission microscope images. This algorithm uses semantic segmentation and visually prepared training samples to capture the differences in the transmission intensities of microscope images, enabling automation of data processing.Blesson GeorgeAnshul AssaiyaRobin J. RoyAjit KembhaviRadha ChauhanGeetha PaulJanesh KumarNinan S. PhilipNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Blesson George
Anshul Assaiya
Robin J. Roy
Ajit Kembhavi
Radha Chauhan
Geetha Paul
Janesh Kumar
Ninan S. Philip
CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
description George, Assaiya et al. develop a deep learning tool, CASSPER, that automates the detection of protein particles in transmission microscope images. This algorithm uses semantic segmentation and visually prepared training samples to capture the differences in the transmission intensities of microscope images, enabling automation of data processing.
format article
author Blesson George
Anshul Assaiya
Robin J. Roy
Ajit Kembhavi
Radha Chauhan
Geetha Paul
Janesh Kumar
Ninan S. Philip
author_facet Blesson George
Anshul Assaiya
Robin J. Roy
Ajit Kembhavi
Radha Chauhan
Geetha Paul
Janesh Kumar
Ninan S. Philip
author_sort Blesson George
title CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
title_short CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
title_full CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
title_fullStr CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
title_full_unstemmed CASSPER is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
title_sort cassper is a semantic segmentation-based particle picking algorithm for single-particle cryo-electron microscopy
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ac44a665905d4502a0e70a0390fc2cd0
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