In the near future, clinical trials will use machine learning routinely to analyze data. Today, however, machine learning is still at an adoption midpoint—no longer pioneering, but not yet ubiquitous.

The Francis Crick Institute’s flow cytometry core has shown at ELRIG 2025 how a heterogeneous fleet of spectral, mass and ...

Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...

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 ...

SAN DIEGO--(BUSINESS WIRE)--Insightful Science, the software company enabling the Cloud for Scientific Discovery, announced today that it has acquired Omiq Inc, a company specialized in data science ...

Dr. Webb shared an exclusive sneak peak of the groundbreaking technology his team is releasing in January called Labtools.AI - an enterprise machine learning platform for Image-Based Flow Cytometry ...

A blue laser illuminates a cell partially stained with fluorescence. Below it, similarly fluorescent cells are lined up, waiting for their turn. The international academic journal ‘Science’ featured ...

Cell processes are complex and are controlled through dynamic intracellular signaling. To better understand these processes, flow cytometry is used to phenotype cells by taking their dimensions and ...

Microscopy existed prior to flow cytometry and was an integral part of its development. A fluorescent microscope, in simple terms, is an enhanced light microscope which uses a light of higher ...