AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph

AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph

The detection of Mycobacterium tuberculosis (Mtb) infection plays an important role in the control of tuberculosis (TB), one of the leading infectious diseases in the world. Recent advances in artificial intelligence-aided cellular image processing and analytical techniques have shown great promises...

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Bibliographic Details
Main Authors: Yan Zhuang, Xinzhuo Zhao, Zhongbing Huang, Lin Han, Ke Chen, Jiangli Lin
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biomolecules
Subjects:
neural networks
unsupervised learning
cell detection
phase-contrast micrograph
infection classification
tuberculosis
Online Access:https://www.mdpi.com/2218-273X/12/2/240

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https://www.mdpi.com/2218-273X/12/2/240

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