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A deep learning pipeline for segmentation of Proteus mirabilis colony patterns
View ORCID ProfileAnjali Doshi, Marian Shaw, Ruxandra Tonea, Rosalía Minyety, Soonhee Moon, View ORCID ProfileAndrew Laine, View ORCID ProfileJia Guo, View ORCID ProfileTal Danino
doi: https://doi.org/10.1101/2022.01.17.475672
Anjali Doshi
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Marian Shaw
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Ruxandra Tonea
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Rosalía Minyety
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Soonhee Moon
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Andrew Laine
1Department of Biomedical Engineering, Columbia University, New York, NY USA
Jia Guo
2Department of Psychology, Columbia University, New York, NY USA
3Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY USA
Tal Danino
1Department of Biomedical Engineering, Columbia University, New York, NY USA
4Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY USA
5Data Science Institute; Columbia University, New York, NY USA
Posted January 17, 2022.
A deep learning pipeline for segmentation of Proteus mirabilis colony patterns
Anjali Doshi, Marian Shaw, Ruxandra Tonea, Rosalía Minyety, Soonhee Moon, Andrew Laine, Jia Guo, Tal Danino
bioRxiv 2022.01.17.475672; doi: https://doi.org/10.1101/2022.01.17.475672
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