The quality of reference controls is critical for generating accurate compensation or unmixing matrices and correctly interpreting conventional or spectral flow cytometry data, respectively. Follow ...
CAR-T translational research demands precise, reproducible, and scalable flow cytometry workflows. Manual centrifugation and antibody preparation steps remain major sources of variability and cell ...
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 ...
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 ...
Around the same time, Mack Fulwyler, an engineer working at Los Alamos National Laboratory, needed to separate particles, so he drew on existing techniques to create droplets to separate cells from a ...
This article and associated images are based on a poster originally authored by R. Mendoza, M. Santos, E. Dreskin, V. Kortisova-Descamps and R. J. Cuthbert and presented at ELRIG Drug Discovery 2025 ...
Immunophenotyping is the identification and quantitation of heterogeneous populations of cells by multi-parameter flow cytometry using a panel of fluorescently-labelled antibodies that recognize ...
Flow cytometry has become a key analytical technique in clinical trials. Through its multiparametric analysis, single-cell resolution, and high-throughput evaluation capabilities, flow cytometry can ...
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