"The UN estimates that by 2050, common bacterial infections could kill more people than cancer," says Arnold Mathijssen, a ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
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 ...
In an era where precision medicine is redefining patient outcomes, cell separation technologies—encompassing the isolation of ...
Over the past decade, flow cytometry has undergone transformative advancements, notably with the adoption of spectral flow cytometry and the emergence of next-generation imaging cytometers. These ...
1 Salivary Disorders Unit, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD, United States 2 NIDCR Sjögren’s Disease Clinic, National Institute of ...
Introduction Precision oncology aims to provide individualised treatment recommendations based on patient-specific characteristics. In this rapidly evolving field with increasing numbers of biomarkers ...
As for many antibody-based experiments, labeling challenges related to brightness, signal stability, target detection, and background noise are common roadblocks in flow cytometry. Scientists can ...
Flow cytometry is a versatile technique often used in biomedical research, pharmaceutical development, and scientific diagnostics. This sophisticated technology enables researchers to examine the ...
Abstract: Microfluidic impedance flow cytometry (IFC) is a widely used technique for high-throughput analysis and single-cell identification, analyzing cells based on their electrical properties ...
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