Computational biologists, application scientists, and software engineers — based in Lund and focused on one problem: reproducible fluorescence measurement.
Founder
Philip identified the inter-instrument reproducibility problem through cell biology research at Lund University and built Cytely to address it at the infrastructure level. His background spans quantitative fluorescence microscopy and research software development.
Lead Computational Biologist
Erik leads the algorithmic development of Cytely's flatfield correction and intensity normalization methods. He has a background in image processing and statistical modeling applied to biological imaging data.
Application Scientist
Sara works with users to configure standardization protocols for their specific instrument setups — from widefield HCS platforms to point-scanning confocal systems. She is the primary contact for onboarding and protocol validation questions.
Software Engineer
Jonas is responsible for the Cytely Analysis Engine — the processing infrastructure that handles native microscopy file format ingestion, parallel batch processing, and pipeline integration with CellProfiler, MATLAB, and Python environments.
We are a small team building focused infrastructure for the life sciences imaging community. If you work in computational biology, image processing, or application science and care about quantitative measurement quality, we want to hear from you.