Single-cell imaging dataset of healthy human white blood cells

ABSTRACT: Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information-rich images of single cells at a throughput of 5000 cells per second. Yet often, cell populations are still studied using manual gating, a technique that has several drawbacks, hence it would be advantageous to replace manual gating with an automated process. Ideally, this automated process would be based on stain-free measurements, as the currently used staining techniques are expensive and potentially confounding. These stain-free measurements originate from the brightfield and darkfield image channels, which capture transmitted and scattered light, respectively. To realise this automated, stain-free approach, advanced machine learning methods are required. Previous works have successfully tested this approac

ORGANISM(S): Homo sapiens (human)

SUBMITTER:  

PROVIDER: S-BIAD452 | bioimages |

REPOSITORIES: bioimages