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PartSeg, a Tool for Quantitative Feature Extraction From 3D Microscopy Images for Dummies
Grzegorz Bokota, Jacek Sroka, Subhadip Basu, Nirmal Das, Paweł Trzaskoma, Yana Yushkevich, Agnieszka Grabowska, Adriana Magalska, View ORCID ProfileDariusz Plewczyński
doi: https://doi.org/10.1101/2020.07.16.206789
Grzegorz Bokota
1Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland
2Institute of Informatics, University of Warsaw, Warsaw, Poland
Jacek Sroka
2Institute of Informatics, University of Warsaw, Warsaw, Poland
Subhadip Basu
3Department of Computer Science and Engineering, Jadavpur University, Kolkata, India
Nirmal Das
3Department of Computer Science and Engineering, Jadavpur University, Kolkata, India
Paweł Trzaskoma
4Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
Yana Yushkevich
4Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
Agnieszka Grabowska
4Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
Adriana Magalska
4Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
Dariusz Plewczyński
1Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland
5Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
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Posted July 17, 2020.
PartSeg, a Tool for Quantitative Feature Extraction From 3D Microscopy Images for Dummies
Grzegorz Bokota, Jacek Sroka, Subhadip Basu, Nirmal Das, Paweł Trzaskoma, Yana Yushkevich, Agnieszka Grabowska, Adriana Magalska, Dariusz Plewczyński
bioRxiv 2020.07.16.206789; doi: https://doi.org/10.1101/2020.07.16.206789
PartSeg, a Tool for Quantitative Feature Extraction From 3D Microscopy Images for Dummies
Grzegorz Bokota, Jacek Sroka, Subhadip Basu, Nirmal Das, Paweł Trzaskoma, Yana Yushkevich, Agnieszka Grabowska, Adriana Magalska, Dariusz Plewczyński
bioRxiv 2020.07.16.206789; doi: https://doi.org/10.1101/2020.07.16.206789
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