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DeepIFC: virtual fluorescent labeling of blood cells in imaging flow cytometry data with deep learning
View ORCID ProfileVeera A. Timonen, View ORCID ProfileErja Kerkelä, View ORCID ProfileUlla Impola, View ORCID ProfileLeena Penna, View ORCID ProfileJukka Partanen, View ORCID ProfileOuti Kilpivaara, View ORCID ProfileMikko Arvas, View ORCID ProfileEsa Pitkänen
doi: https://doi.org/10.1101/2022.08.10.503433
Veera A. Timonen
1Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
2Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
Erja Kerkelä
3Finnish Red Cross Blood Service (FRCBS), Helsinki, Finland
Ulla Impola
3Finnish Red Cross Blood Service (FRCBS), Helsinki, Finland
Leena Penna
3Finnish Red Cross Blood Service (FRCBS), Helsinki, Finland
Jukka Partanen
3Finnish Red Cross Blood Service (FRCBS), Helsinki, Finland
Outi Kilpivaara
2Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
4Department of Medical and Clinical Genetics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
5HUSLAB Laboratory of Genetics, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
Mikko Arvas
3Finnish Red Cross Blood Service (FRCBS), Helsinki, Finland
Esa Pitkänen
1Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
2Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
Posted September 22, 2022.
DeepIFC: virtual fluorescent labeling of blood cells in imaging flow cytometry data with deep learning
Veera A. Timonen, Erja Kerkelä, Ulla Impola, Leena Penna, Jukka Partanen, Outi Kilpivaara, Mikko Arvas, Esa Pitkänen
bioRxiv 2022.08.10.503433; doi: https://doi.org/10.1101/2022.08.10.503433
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