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UVA engineering researcher earns $1.1M NIH award to advance single-cell analysis and disease detection

A UVA engineer is developing microfluidic devices and AI-powered computational tools to isolate and study rare circulating cells, which could lead to better treatments for diseases like cancer and infection. The technology aims to integrate with electronics and systems to measure single-cell physical properties on a microchip.

Making biomolecules glow: new dye solves problem

Researchers at the University of Göttingen have developed a new method to make biomolecules glow in real-time, eliminating unwanted signals in microscopy. This approach ensures only labelled biological molecules emit fluorescence, making experiments clearer and easier to interpret.

SourceUniversity of Göttingen·JournalAngewandte Chemie·TypeExperimental study·DateMay 22, 2026

Cutting-edge optical genome mapping technology shows promise for diagnosis, prognosis, and therapeutic options of multiple myeloma

Researchers have developed an innovative optical genome mapping technique that can identify structural variants and copy number variations across the entire genome in a single test. The method has been shown to reduce material requirements and improve prognostic stratification for patients with multiple myeloma.

SourceElsevier·JournalJournal of Molecular Diagnostics·TypeExperimental study·DateApr 14, 2025

Researchers overcome stem cell delivery barrier, paving the way for regenerative medicine

Scientists have developed a new method to deliver genetic information to stem cells using nanoparticles coated with a specific polymer, enabling more efficient control over cellular differentiation. This innovation has the potential to improve the efficiency and effectiveness of regenerative medicine treatments.

SourceXi'an Jiaotong-Liverpool University·JournalNano Letters·TypeExperimental study·DateMay 8, 2023

Massive effort yields image-based cell sorting technology

A new intelligent machine, Image-Activated Cell Sorting (IACS), sorts cells based on their spatial and morphological properties using an image-driven approach. The platform has been optimized for analyzing individual cells and holds promise for making machine-based discoveries in biological sciences.

SourceCell Press·JournalCell·DateAug 27, 2018

Surface tension drives segregation within cell mixtures

Researchers have developed a new three-dimensional computer model that reveals surface tension plays a crucial role in cell sorting. The study found that when minority cells make up at least 25% of the mix, they are more likely to be in direct contact with other minority cells, enhancing the surface tension effect and allowing it to dr...

SourceVanderbilt University·JournalPhysical Review Letters·DateOct 6, 2008