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 ...

Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, making it fundamental to medical research. As assays evolve to capture more ...

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 ...

As someone who has spent the last decade driving the advancement of flow cytometry technology and its real-world applications ...

Researchers have validated an AI-assisted flow cytometry system that can analyze complex immunological data in under five minutes per case, matching expert accuracy. The DeepFlow™ platform ...

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 ...

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 ...

What are cell and gene therapies? Cell and gene therapies are utilized to treat diseases and, in some cases, cure diseases by targeting the underlying proteins or genes. Overlaps between these ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...