# High-content cell imaging (Blood Cell Painting) The same subset of individuals that were analyzed for single-cell transcriptomics and immune profiling were also analyzed for high-content imaging, in FinnGen EA5. The high-content cell imaging was done in collaboration with FIMM's cell imaging facility (HCA), and the project itself in collaboration with Finnish Red Cross Blood Service. Blood Cell Painting (BCP) is a project where single cells from 390 healthy blood donors were imaged (Opera Phenix high-content microscope), single-cell features were extracted from the images, and genetic analyses were done for these features. Features were extracted using BIAS from Single-Cell Technologies. The Blood Cell Painting preprint with more details and results (***Högel-Starck et al. 2024***) can be found here: The README files and both raw and processed feature-level data can be found in: `/finngen/library-red/EA5/cell_painting/` BCP\_EA5\_1.0 refers to the pilot phase of the project for 99 donors, and BCP\_EA5\_2.0 contains the entirety of data from all 390 donors selected for the project. **Sample timestamps:** In case a sample timestamp is needed for the blood donor's data (i.e., when was the sample collected), you can use the files below to screen for your samples. * `/finngen/library-red/EA5/omics_metadata/20250204_EA5_Plasma_Metadata_All.csv` * `/finngen/library-red/EA5/omics_metadata/`[`20250204_EA5_Plasma_Metadata_Readme.md`](https://urldefense.com/v3/__http:/20250204_EA5_Plasma_Metadata_Readme.md__;!!H9nueQsQ!48BpnWXYE5YCnO93PXnwlx93bkDCAF3BJvdUp1OQ2yzLFIfQN4zuYrxO8gk4Flt8MQwNUkcTL1xZkTM8voX6Q8nTR18UzvwX$) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.finngen.fi/finngen-data-specifics/red-library-data-individual-level-data/omics-data/high-content-cell-imaging-blood-cell-painting.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.