Flow Cytometry – News and Features

This article explores common challenges faced by flow cytometry users, such as fluorochrome selection, the utility of tandem dyes and managing spectral overlap, to help optimize your panel design for more reliable results.

Immuno-oncology and cell-based treatments, which harness the body's own immune system to combat illnesses like cancer, have emerged as some of the most promising areas of study. This article explores how cell therapy is evolving.

An AI-enabled device could make flow cytometry affordable and accessible, reports a new study from Rice University.

A specialist in flow cytometry, cell sorting and cellular biology, Dr. Richard Cuthbert shared his perspectives on the current and future applications of flow cytometry – and automated flow cytometry systems – in modern drug discovery.

bit.bio’s GFP ioMicroglia enables real-time tracking of microglia in complex co-cultures and in vivo, streamlining neurodegeneration research and drug discovery.

Technology Networks spoke with Dr. Richard Cuthbert, cell biology product manager at Bio-Rad, to learn more about Bio-Rad's new ZE5 Cell Analyzer, the challenges within the field and recent technological advancements in flow cytometry.

Flow cytometry (FC) is a powerful tool for multi-parametric cell characterization. In this article, we explore the advances improving the accuracy and efficiency of FC and opening up new research and clinical applications.

University of Michigan researchers developed a biolaser-based method to detect circulating tumor cells in pancreatic and lung cancer patients. By combining cell lasers with machine learning, the technique identifies tumor cells with 99% accuracy.

This article explores some of the challenges in developing cell lines for therapeutics, such as cell line stability, and how they are being addressed.

A new study from Charité University reveals that the biomarker Ki67 can predict if inflammatory bowel disease patients will respond to vedolizumab. Machine learning identified Ki67 levels as a marker for treatment resistance.