Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks-Reference-Cited by-同舟云学术

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Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks

Published:2022-12 Issue:4 Volume:3 Page:101852
ISSN:2666-1667
Container-title:STAR Protocols
language:en
Short-container-title:STAR Protocols

Author:

Moghnieh Hussein,Kamran Sharif Amit,Hossain Khondker Fariha,Kuol Nyanbol,Riar Sarah,Bartlett Allison,Tavakkoli Alireza,Baker Salah A.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

NIH

Publisher

Elsevier BV

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Reference2 articles.

1. New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning;Kamran;iScience,2022

2. A high throughput machine-learning driven analysis of calcium spatio-temporal maps;Leigh;Cell Calcium,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new deep learning-based approach for concrete crack identification and damage assessment;Advances in Structural Engineering;2024-07-23

2. Review of the Machine Learning Based Methods Applicable for Analysis of Intracellular Calcium Transients Imaging;2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY);2023-09-21

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