Veera A. Timonen

The paper describes a pipeline for collecting high-quality blood samples from donors for multi-omics research, demonstrating their suitability for genetic and phenotypic studies.

The paper develops Blood Cell Painting (BCP) to profile immune cell morphology in healthy donors, identifying genetic and clinical associations with immune cell features.

DeepIFC uses deep learning to generate fluorescent marker images from imaging flow cytometry data, enabling accurate cell typing and recognition of unseen cell types.