Flow cytometry is a powerful analytical tool used for high throughput particle or cell analysis, wherein the sample is passed in a single file through the incident light of a laser detector, allowing ...

Spectral flow cytometry is an established technology that offers the ability to extract autofluorescence, gives researchers more flexibility when it comes to fluorochrome selection, and facilitates ...

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 ...

A workshop presenting the theory of flow cytometry and case studies of its use for microbiological analysis in the water industry, combined with a hands on practical session.

Much of what biologists know about the human immune system has been — quite literally — illuminated by flow cytometry. For more than 70 years, this technology has evolved to become one of immunology’s ...

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 ...

To schedule time for flow analysis, call 977-8877. Leave a message if you are unable to reach us immediately and we will return your call as soon as possible. Users are also welcome to stop by the ...

BD is pairing up with Labcorp to develop a new line of companion diagnostics for cancer treatments and therapies for other diseases, analyzing patients’ cells using flow cytometry technology to match ...

How do we “name” a cell and assign its identity? How do we know that we are all talking about the same cells? How do we agree on what it takes to confidently correlate previous with current research ...

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 ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...