Using DeepContact with Amira graphical user interface

DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira’s artificial intelligence module, thereby allowing invoking of DeepCo...

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Detalles Bibliográficos
Autores principales: Liu, Liqing, Wu, Hongjun, Yang, Shuxin, Yi, Ke, Hu, Junjie, Xiao, Li, Xu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514215/
https://www.ncbi.nlm.nih.gov/pubmed/37717213
http://dx.doi.org/10.1016/j.xpro.2023.102558
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author Liu, Liqing
Wu, Hongjun
Yang, Shuxin
Yi, Ke
Hu, Junjie
Xiao, Li
Xu, Tao
author_facet Liu, Liqing
Wu, Hongjun
Yang, Shuxin
Yi, Ke
Hu, Junjie
Xiao, Li
Xu, Tao
author_sort Liu, Liqing
collection PubMed
description DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira’s artificial intelligence module, thereby allowing invoking of DeepContact functions in organelle segmentation and quantifying of MCS with a user-friendly graphical user interface of Amira software. For complete details on the use and execution of this protocol, please refer to Liu et al. (2022).(1)
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spelling pubmed-105142152023-09-23 Using DeepContact with Amira graphical user interface Liu, Liqing Wu, Hongjun Yang, Shuxin Yi, Ke Hu, Junjie Xiao, Li Xu, Tao STAR Protoc Protocol DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira’s artificial intelligence module, thereby allowing invoking of DeepContact functions in organelle segmentation and quantifying of MCS with a user-friendly graphical user interface of Amira software. For complete details on the use and execution of this protocol, please refer to Liu et al. (2022).(1) Elsevier 2023-09-16 /pmc/articles/PMC10514215/ /pubmed/37717213 http://dx.doi.org/10.1016/j.xpro.2023.102558 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Liu, Liqing
Wu, Hongjun
Yang, Shuxin
Yi, Ke
Hu, Junjie
Xiao, Li
Xu, Tao
Using DeepContact with Amira graphical user interface
title Using DeepContact with Amira graphical user interface
title_full Using DeepContact with Amira graphical user interface
title_fullStr Using DeepContact with Amira graphical user interface
title_full_unstemmed Using DeepContact with Amira graphical user interface
title_short Using DeepContact with Amira graphical user interface
title_sort using deepcontact with amira graphical user interface
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514215/
https://www.ncbi.nlm.nih.gov/pubmed/37717213
http://dx.doi.org/10.1016/j.xpro.2023.102558
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