Flow cytometry is entering a new era with advanced software, AI-driven algorithms, and automation transforming data accuracy and efficiency. From robust desktop platforms to cloud-native solutions and ...

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 ...

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 ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, introduces an automated solution for the grueling and time-consuming process of manual gating flow cytometry ...

Flow cytometry is an invaluable method for biomedical research. Since its development over 50 years ago, technology for flow cytometry has progressed rapidly, allowing for the detection of more and ...

PARIS & PHILADELPHIA--(BUSINESS WIRE)--METAFORA biosystems, a company that’s leveraging its AI-powered flow cytometry platform to generate improved IVDs and more effective cell therapies, today ...

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 ...

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 ...

The quality of reference controls is critical for generating accurate compensation or unmixing matrices and correctly interpreting conventional or spectral flow cytometry data, respectively. Follow ...