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 ...

Biometrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea Graduate School of Analytical ...

Alzheimer's disease (AD) is a highly debilitating neurodegenerative disease characterized by the progressive loss of memory and decline of mental functions. Earlier research has uncovered some of the ...

Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...

I was reading a book about students and attention—Distracted: Why Students Can’t Focus and What You Can Do About It—when I had an epiphany. Not about why my students had trouble focusing, but about ...

Ultracentrifugation (UC) remains a widely used method for isolating extracellular vesicles (EVs), but debates persist around yield, integrity, and optimal protocols. In this webinar, I will provide a ...

Abstract: Flow cytometry is an advanced technique for analyzing cellular heterogeneity in biomedical research and clinical diagnostics. Its ability to generate multiparametric data has facilitated ...

ARC Centre of Excellence in Synthetic Biology, Queensland University of Technology, Brisbane, QLD 4000, Australia Centre of Agriculture and the Bioeconomy, School of Biology and Environmental Science, ...

Yacon (Smallanthus sonchifolius), a tuberous root native to the Andean region, is cultivated in various countries and is valued as a functional and medicinal food due to its nutraceutical properties.

The identification of reliable biomarkers from peripheral blood is crucial for improving disease diagnosis and monitoring. Spectral flow cytometry has emerged as a powerful tool for high-dimensional ...