The flow cytometer from Bigelow Laboratory’s Center for Aquatic Cytometry, run by Senior Research Scientist Nicole Poulton, can be used to separate out and measure smaller microplastic particles.

Flow cytometry is widely used in areas of research that require analysis or isolation of cells from suspension. This technology makes use of fluorescent probes targeted to specific cell-associated ...

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 ...

Multiplexed, multiparameter screening assays are foundational to the drug discovery process. By collecting more information, more rapidly – whether the focus antibodies, small molecules, or phenotypic ...

Impedance flow cytometry measurements are adversely affected by the distance between the analyte and the sensing electrodes. By slightly squeezing the microfluidic channel, adapts the channel’s height ...

Flow cytometry has become an essential analytical technique in the life sciences. Using this method, researchers can measure the chemical and physical characteristics of populations of cells and ...

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 ...

Extracellular vesicles (EVs) are membranous vesicles that carry tremendous potential as biomarkers and therapeutic targets. Secreted by many cell types, these nanosized particles package diverse ...

This past spring, the U.S. Pharmacopeia indicated that it was considering new guidelines for the determination of particulate matter in therapeutic formulations. Existing guidelines emphasize the use ...

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 ...

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 ...

A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an ...