Macrophages drive key immune processes including inflammation, tissue repair, and tumorigenesis via distinct polarization states whose accurate identification is vital for diagnosis and immunotherapy.

A new platform established by researchers at the Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences (QIBEBT/CAS) improves accuracy, ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

Around the same time, Mack Fulwyler, an engineer working at Los Alamos National Laboratory, needed to separate particles, so he drew on existing techniques to create droplets to separate cells from a ...

Recombinant Hirudin (rH) inhibited the polarization of M2-type macrophages and protease-activated receptor-1 (PAR-1) in diffuse large B-cell lymphoma (DLBCL). A study of 32 clinical samples from ...

Using localized force-distance curves from AFM, a deep neural network was trained and biologically validated to predict and accurately distinguish macrophage polarization states, including complex ...

Researchers developed and validated a label-free, non-invasive method combining AFM with deep learning for accurate profiling of human macrophage mechanophenotypes and rapid identification of their ...