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.

This technology has vast potential to help patients but remains underutilized and underappreciated. The tools are there. What’s lacking are harmonized controls, regulatory guidelines and database ...

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 ...

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 ...

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 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 ...

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 ...