High-Content Screening Symposium | Biomedicum Helsinki 1, sh.3


Monday, March 19, 2018 - 09:00 to 17:00


This one-day High-Content Screening Symposium covers topics related to characterization of patient-derived cells by high-content imaging. Lectures are given by invited international researchers and FIMM-HCA staff. The symposium is part of High-Content Screening course organized by FIMM-HCA unit and DSHealth. Lectures are open for everybody. For further info, please see the course website


Chair: Vilja Pietiäinen, FIMM, HiLIFE, UH

9.00-9.05 Introduction & Welcome

9.05-9.30 Vilja Pietiäinen, FIMM, HiLIFE, University of Helsinki: 3D cell models and drug profiling for high-content screening

9.30-10.00 Sina Oppermann, German Cancer Research Center, Heidelberg: High-content drug screening of patient derived cancer cells to identify drugs for personalized therapy and to overcome resistance

10.00-11.00 Davide Danovi, King's College London/HipSci project, UK: Phenotyping stem cells from healthy volunteers and patients using high content analysis platforms


11.30-12.30 Student Lunch, FIMM, Biomedicum 2U, 3rd floor

12.30-13.30 Meet the speaker @FIMM

13.30 Coffee and Pulla


Chair: Lassi Paavolainen, FIMM, HiLIFE, UH

14.00-15.00 Beth Cimini, Imaging Platform, Broad Institute, USA: A picture is worth a million numbers: The power of single-cell morphological measurements

15.00-15.30 Giuseppe Balistreri, University of Helsinki: Decoding virus-cell interactions: from genome-scale screening to new therapeutic strategies

15.30-15.50 Antti Hassinen, FIMM, HiLIFE, University of Helsinki: FIMM High-Content Imaging & Analysis unit 


Chair: Antti Hassinen, FIMM, HiLIFE, UH

15.50-16.10 Lassi Paavolainen, FIMM, HiLIFE, University of Helsinki: Image-based phenotypic profiling of cancer cells

16.10-16.40 Antti Arjonen, Misvik Biology: Ex vivo therapy efficacy assessment in rare (solid) cancers

16.40-17.00 Abel Szkalisity, BRC, Hungary: Advanced Cell Classifier: machine learning for phenotypic and continuous single-cell analysis

Last updated: 19.03.2018 - 09:03