Advances in Quantitative Bioimage Analysis for Proteins and Cells-Reference-Cited by-同舟云学术

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Advances in Quantitative Bioimage Analysis for Proteins and Cells

Published:2020-03-18 Issue:4 Volume:97 Page:344-346
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Figge Marc Thilo¹²

Affiliation:

1. Applied Systems Biology, HKI‐Center for Systems Biology of Infection, Leibniz‐Institute for Natural Product Research and Infection Biology Hans‐Knöll‐Institute (HKI) Jena Germany

2. Institute of Microbiology, Faculty of Biological Sciences Friedrich Schiller University Jena Germany

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24000

Reference15 articles.

1. Quantitative bioimage analysis of cell characteristics

2. Image-based systems biology

3. Cell image classification: a comparative overview;Shifat‐E‐Rabbi M;Cytometry,2020

4. Label‐Free Leukemia Monitoring by Computer Vision

5. HeK ZhangX RenS SunJ. Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. Availableat:https://doi.org/10.1109/cvpr.2016.90.

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. Impact of functional electrical stimulation on nerve-damaged muscles by quantifying fat infiltration using deep learning;Scientific Reports;2024-05-28

2. Invasive aspergillosis-on-chip: A quantitative treatment study of human Aspergillus fumigatus infection;Biomaterials;2022-04

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