Over the past decade, flow cytometry has undergone transformative advancements, notably with the adoption of spectral flow cytometry and the emergence of next-generation imaging cytometers. These ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...

Flow cytometry is a single-cell analytical technique that uses fluorophore-labeled cell structures or biomarkers to differentiate between cell populations. Through this method, researchers detect the ...

Differences in how users gate populations within experiments are major sources of variability in flow cytometry data analysis. Incorporating automated image analysis can substantially reduce user bias ...

With flow cytometry, as with many technologies that enjoy continuous use, we can see an evolution of capabilities. Spectral analysis, image capture, and artificial intelligence are just a few of the ...

When generating induced pluripotent stem cells (iPSCs) for use in downstream applications, it is commonplace to perform initial checks for key attributes such as viability and pluripotency. This ...

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 ...

FRANKLIN LAKES, N.J., Aug. 9, 2022 /PRNewswire/ -- BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, today announced a collaboration agreement with Labcorp ...

In this interview conducted at SLAS EU 2023 in Brussels, Belgium, we spoke to Laura Kuett, a Ph.D. student in Systems Biology, about the promise of 3D Imaging Mass Cytometry. Please can you introduce ...