A research team from George R Brown School of Engineering and Computing (Rice University; TX, USA), led by Peter Lillehoj and Kevin Mchugh, have developed an innovative AI-enabled microfluidic ...

Becton, Dickinson and Company BDX, popularly known as BD, recently announced the global commercial launch of BD Research Cloud 7.0, marking another step forward in its AI-driven life sciences strategy ...

For example, flow cytometry can distinguish different cellular properties from morphology to cell cycle stage. Furthermore, the information provided by a flow cytometer reflects the individual cells ...

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 ...

Flow cytometry is a high throughput method of cell analysis that utilizes carefully designed flow systems to pass cells or other particles in a single file by a laser detector, allowing the size and ...

Flow cytometry is an invaluable method for biomedical research. Since its development over 50 years ago, technology for flow cytometry has progressed rapidly, allowing for the detection of more and ...

Flow cytometry uses fluorescent probes to identify and characterize cells or particles in suspension (e.g. cells, nuclei or chromosomes) by virtue of size, granularity and fluorescence ...

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 ...

One of the primary objectives for the application of flow cytometry in any testing environment should be measurement assurance, i.e., the generation of reliable and reproducible results. This goal can ...