Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

This article and associated images are based on a poster originally authored by Sharon Sanderson, Michael Blundell, and Tracey Long and presented at ELRIG Drug Discovery 2025 in affiliation with ...

1 Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD, Australia 2 ARC Centre of Excellence for Plant Success in Nature and Agriculture, The University ...

Introduction: Extracellular Vesicles (EVs) are key mediators of intercellular communication, enclosed by a phospholipid bilayer and lack the ability to replicate. Characterization of EVs is essential ...

Impedance flow cytometry measurements are adversely affected by the distance between the analyte and the sensing electrodes. By slightly squeezing the microfluidic channel, adapts the channel’s height ...

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 ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, in partnership with Rarity Bioscience AB offers a new approach to oncology research by extending the ...

Flow Traders reported strong 2024 financial results, with net trading income up 56% YoY and a significant Q4 performance, driving a share price rally. The company benefits from high trading volumes ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.