How do we “name” a cell and assign its identity? How do we know that we are all talking about the same cells? How do we agree on what it takes to confidently correlate previous with current research ...

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 ...

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 ...

Flow cytometry remains a critical technology for the high-throughput analysis of single cells in complex populations. Attention to good analysis practices is more important than ever due to the recent ...

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 ...

Flow cytometry is a strong analytical method that is utilized to determine, measure, and examine cells and particles in a heterogeneous mixture. The standard instrument comprises three primary ...

GEN recently spoke to several scientists with expertise in the flow cytometry arena about emerging trends and additional potential applications for this versatile research tool. Clare Rogers, ...

The identification of reliable biomarkers from peripheral blood is crucial for improving disease diagnosis and monitoring. Spectral flow cytometry has emerged as a powerful tool for high-dimensional ...