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 widely used in areas of research that require analysis or isolation of cells from suspension. This technology makes use of fluorescent probes targeted to specific cell-associated ...

Much of what biologists know about the human immune system has been — quite literally — illuminated by flow cytometry. For more than 70 years, this technology has evolved to become one of immunology’s ...

Whole blood sample stability as an analytical parameter should be assessed when developing pharmacodynamic flow cytometry assays. Sample stability will determine the robustness of detecting not only ...

While flow cytometry has become a prominent technology in both research and clinical laboratories, the sample preparation workflow is often still highly manual. Variabiability in this workflow, as ...

Flow cytometry is a way to look closely at the features of cells or particles. A sample of blood or tissue goes into a machine called a cytometer. In less than a minute, a computer can analyze ...

FRANKLIN LAKES, N.J., March 26, 2019 /PRNewswire/ -- BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, today announced the CE-IVD certification for the BD ...

Flow cytometry is a powerful analytical tool used for high throughput particle or cell analysis, wherein the sample is passed in a single file through the incident light of a laser detector, allowing ...

EL CAJON, CALIFORNIA, UNITED STATES, December 12, 2023 /EINPresswire.com/ -- Elevate your flow cytometry workflow to unprecedented precision with PluriStrainer, an ...

The Addition Expands Dotmatics Flow Cytometry Solutions Covering the End-to-End Workflow From Experimental Design to Downstream Data Analysis Flow cytometry panel design refers to the process of ...

A research team from George R Brown School of Engineering and Computing (Rice University; TX, USA), led by Peter Lillehoj and Kevin Mchugh, have developed an innovative AI-enabled microfluidic ...