Multifunctional light sheet imaging flow cytometry of a large population of live cells at high throughput is challenging and requires new technological advancement. Existing cytometry techniques are ...

We have developed a method along with a Python-based analysis tool to capture images and produce flow-cytometry-like data for adherent cell culture utilizing simple accessible microscopes. Leveraging ...

Many common flow cytometry mistakes share a common feature—simply following procedures instead of cultivating conceptual ...

This article is based on a poster originally authored by Sanaz Koosha, Manpreet Singh, Eva Van Lombergen, Bieke Soen, Matthias De Decker, Leen Catrysse and Nithianandan Selliah. Precise ...

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 ...

As for many antibody-based experiments, labeling challenges related to brightness, signal stability, target detection, and background noise are common roadblocks in flow cytometry. Scientists can ...

Flow cytometry is a high-throughput, laser-based analytical method used to quantify physical and biochemical characteristics of individual cells or particles suspended in fluid as they pass ...