How to virtually label cells with imaging flow cytometry (IFC) and identify cell types? Veera Timonen created DeepIFC to solve this problem. Great collaboration with Finnish Red Cross Blood Service Veripalvelu FIMM HelsinkiUni Applied Tumor Genomics (ATG) University of Helsinki Machine Learning in Biomedicine group biorxiv.org/content/10.110…

Esa Pitkänen and Veera Timonen FIMM HelsinkiUni Applied Tumor Genomics (ATG) Medicine and Health, University of Helsinki presenting collaboration with FRCBSresearch Veripalvelu at the Finnish Bioinformactis Day 2023 biorxiv.org/content/10.110… #DeepIFC #imaging_flow_cytometry #neural_network #red_blood_cell

#DeepIFC poster yesterday at #bioinformaticsday2023. Collab with Veripalvelu FRCBSresearch

Happy to see our paper on reconstructing fluorescent labels in imaging flow cytometry with deep learning published. Excellent work by Veera Timonen and collaborators! FRCBSresearch Machine Learning in Biomedicine group FIMM HelsinkiUni onlinelibrary.wiley.com/doi/abs/10.100…

The June 2023 FIMM Young Investigators of the Month are Doctoral Researchers Veera Timonen (Esa Pitkänen group) & Anni Varjonen Eero Vuoksimaa group). Congratulations for their recent 1st author publications! helsinki.fi/en/hilife-hels… #phdlife #researchtraining