Rainbow: Automated Air-Liquid Interface Cell Culture Analysis Using Deep Optical Flow

Python Jupyter Notebook Submitted 22 November 2021Published 22 March 2022
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Editor: @jmschrei (all papers)
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Authors

Alphons Gwatimba (0000-0002-9607-2839), Joseph Ho (0000-0002-9496-506X), Thomas Iosifidis (0000-0001-8462-5865), Yuliya V. Karpievitch (0000-0003-2586-3358)

Citation

Gwatimba et al., (2022). Rainbow: Automated Air-Liquid Interface Cell Culture Analysis Using Deep Optical Flow. Journal of Open Source Software, 7(71), 4080, https://doi.org/10.21105/joss.04080

@article{Gwatimba2022, doi = {10.21105/joss.04080}, url = {https://doi.org/10.21105/joss.04080}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {71}, pages = {4080}, author = {Alphons Gwatimba and Joseph Ho and Thomas Iosifidis and Yuliya V. Karpievitch}, title = {Rainbow: Automated Air-Liquid Interface Cell Culture Analysis Using Deep Optical Flow}, journal = {Journal of Open Source Software} }
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python jupyter notebook bioinformatics deep learning biology optical flow image analysis bioimage informatics

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ISSN 2475-9066