Flow cytometry is a way to look closely at the features of cells or particles. A sample of blood or tissue goes into a machine called a cytometer. In less than a minute, a computer can analyze ...

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.

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, ...

A recent study released by researchers at North Carolina State University offers new insights and guidelines for the accurate estimation of plant genome size using flow cytometry. Flow cytometry has ...

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 ...

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 ...

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 ...

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 ...

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 ...

The last few decades have completely transformed veterinary sciences; for example, the life expectancy of both cats and dogs has increased to a higher level than ever before. Veterinary science not ...