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, ...

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 ...

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 ...

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 ...

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 ...

Flow cytometry is a technique commonly used to identify and separate specific cells from a mixed population. This can be applied to a large number of cells, which is ideal for further statistical ...