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 ...

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 ...

A new method combining AFM with deep learning accurately profiles human macrophage mechanophenotypes. Macrophages drive key immune processes including inflammation, tissue repair and tumorigenesis via ...

Flow cytometry is a widely used analytical technique that distinguishes between cell populations depending on the presence or absence of chosen markers. However, the number of markers that can be ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, and an Operating Company of Danaher Corporation, revolutionizes spectral flow cytometry with the industry’s ...

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 ...