High-parameter (greater than 20-color) flow cytometry is increasingly adopted in clinical settings. It provides unparalleled capabilities for immunophenotypic characterization in the diagnosis of ...

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 is a powerful tool that has many applications, from immunology and cancer biology to molecular biology and virology. It has seen major advances over the past few decades, providing ...

New test as sensitive as next-generation sequencing, and provides five-day specimen stability to support nationwide testing SECAUCUS, N.J., Feb. 2, 2026 /PRNewswire/ -- Quest Diagnostics (DGX), a ...

FREMONT, Calif., Oct. 29, 2025 (GLOBE NEWSWIRE) -- Amid the reduction of various government grant programs and global economic challenges that have tightened research funding, Cytek Biosciences, Inc. ...

Flow cytometry is crucial for diagnosing hematological malignancies. However, the rising number of tests and ongoing labor shortages are placing significant pressure on both the lab and its staff. Lab ...

FRANKLIN LAKES, N.J., Sept. 27, 2022 /PRNewswire/ -- BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, today launched BD® Research Cloud, a cloud-based ...

Flow cytometry is a high-throughput cell analysis method that combines optical and molecular-based detection to collect multiple data parameters simultaneously. Flow cytometers are usually large ...

Flow cytometry is a strong analytical method that is utilized to determine, measure, and examine cells and particles in a heterogeneous mixture. The standard instrument comprises three primary ...

A low-profile child of the '60s, flow cytometry didn't capture the imagination of most researchers until the early 1980s. The decade saw the birth of the AIDS epidemic, and as attention focused on HIV ...

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 ...