Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN

Abstract Background Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within...

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Bibliographic Details
Main Authors: Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Bioinformatics
Subjects:
Cryo-ET
Faster-RCNN
Cellular structure detection
Biomedical image analysis
Online Access:http://link.springer.com/article/10.1186/s12859-019-2650-7

Internet

http://link.springer.com/article/10.1186/s12859-019-2650-7

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