New Results
Automated screening by 3D light-sheet microscopy with high spatial and temporal resolution reveals mitotic phenotypes
Björn Eismann, Teresa G Krieger, Jürgen Beneke, Ruben Bulkescher, Lukas Adam, Holger Erfle, Carl Herrmann, Roland Eils, Christian Conrad
doi: https://doi.org/10.1101/2020.01.20.912659
Björn Eismann
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
Teresa G Krieger
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
3Digital Health Center, Berlin Institute of Health (BIH)/Charité-Universitätsmedizin Berlin, Berlin, Germany
Jürgen Beneke
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
5Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
Ruben Bulkescher
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
5Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
Lukas Adam
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
Holger Erfle
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
5Advanced Biological Screening Facility Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
Carl Herrmann
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
6Health Data Science Unit, Medical Faculty University Heidelberg and BioQuant, Heidelberg, Germany
Roland Eils
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
3Digital Health Center, Berlin Institute of Health (BIH)/Charité-Universitätsmedizin Berlin, Berlin, Germany
4Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) Heidelberg University, Heidelberg, Germany
7Heidelberg Center for Personalized Oncology, DKFZ-HIPO, DKFZ, Heidelberg, Germany
Christian Conrad
1Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Heidelberg, Germany
7Heidelberg Center for Personalized Oncology, DKFZ-HIPO, DKFZ, Heidelberg, Germany
Posted January 20, 2020.
Automated screening by 3D light-sheet microscopy with high spatial and temporal resolution reveals mitotic phenotypes
Björn Eismann, Teresa G Krieger, Jürgen Beneke, Ruben Bulkescher, Lukas Adam, Holger Erfle, Carl Herrmann, Roland Eils, Christian Conrad
bioRxiv 2020.01.20.912659; doi: https://doi.org/10.1101/2020.01.20.912659
Automated screening by 3D light-sheet microscopy with high spatial and temporal resolution reveals mitotic phenotypes
Björn Eismann, Teresa G Krieger, Jürgen Beneke, Ruben Bulkescher, Lukas Adam, Holger Erfle, Carl Herrmann, Roland Eils, Christian Conrad
bioRxiv 2020.01.20.912659; doi: https://doi.org/10.1101/2020.01.20.912659
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