Flow cytometry offers practical advantages for real-time monitoring of CAR T cell expansion, persistence, and toxicity risk in aggressive large B-cell lymphoma patients. Early CAR T cell expansion is ...
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 ...
CHICAGO — The use of a clinically validated flow cytometry test can assess type 1 and type 2 interferon activity in children with various pediatric inflammatory diseases to evaluate and monitor their ...
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. ...
Abstract: Flow Cytometry (FC) is a powerful technique used to detect and measure various cellular characteristics, including size, count, morphology, and DNA content. It plays a vital role in clinical ...
Figure 12: South Korea Flow Cytometry Market, $Million, 2024-2035 Figure 13: Australia Flow Cytometry Market, $Million, 2024-2035 Figure 14: Thailand Flow Cytometry ...
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 ...
FREMONT, Calif., May 29, 2025 (GLOBE NEWSWIRE) -- In a move that underscores its dedication to shaping the future of cell analysis, Cytek Biosciences, Inc. (Nasdaq: CTKB) today announced the launch of ...
Flow cytometry effectively detects CTCs in melanoma patients, offering a rapid, cost-effective alternative to molecular biology. CTCs are present across all melanoma stages, with a significant ...
Cytek Biosciences, Inc. has launched the Cytek® Muse® Micro, an enhanced version of its original Guava® Muse® cell analyzer, aimed at making advanced cell analysis more accessible and affordable. 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 ...