> For the complete documentation index, see [llms.txt](https://docs.finngen.fi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.finngen.fi/finngen-data-specifics/red-library-data-individual-level-data/omics-data/high-content-cell-imaging-blood-cell-painting.md).

# 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: <https://www.biorxiv.org/content/10.1101/2024.05.17.594648v2>

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$)
