Flow cytometry is not just a technique. It has matured into a scientific field, one that has become virtually indispensable for most areas of biomedical research. Some of its more well-known ...

Flow cytometry detects cells or particles in suspension by separating them in a narrow, rapidly flowing stream of liquid. The sample is passed through a laser, which detects properties such as size, ...

Flow cytometry is a powerful analytical tool employed in several industries. This article will provide an overview of its use in the field of botany. Flow cytometry measures the chemical and physical ...

Sonal Manohar is an Assistant Professor at the Sunandan Divatia School of Science (Mumbai, India) specializing in cancer biology and cell signaling. She has recently co-authored two papers published ...

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 ...

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 ...

Larry Sklar (left) is a Distinguished Professor Emeritus at the University of New Mexico (UNM; NM, USA) whose interest in flow cytometry as a tool for drug discovery led to the development of ...

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 ...

In this webinar, Jorge López, MSc, Flow Cytometry and Hematology Specialist, will discuss the implementation of PIDOT within a Next Generation Flow™ cytometry framework as a sta ...

Spectral flow cytometry collects the full emission spectrum of a fluorochrome, enabling multicolor panels with more parameters than conventional flow cytometry. As scientists discover the subtle ...

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 ...