Expansion technique to image nanoscale structures inside cells makes high-resolution imaging more accessible
A classical way to image nanoscale structures in cells is with high-powered, expensive super-resolution microscopes. As an alternative, MIT researchers have developed a way to expand tissue before imaging ...
Physicists reveal nonlinear transport induced by quantum geometry in planar altermagnets
In recent years, many physicists and materials scientists have been studying a newly uncovered class of magnetic materials known as altermagnets. These materials exhibit a unique type of magnetism that ...
Magnetoelectric nanodiscs offer remote brain stimulation without implants or genetic modification
Novel magnetic nanodiscs could provide a much less invasive way of stimulating parts of the brain, paving the way for stimulation therapies without implants or genetic modification, MIT researchers report.
AI-driven approach reveals hidden protein relationships
In a recently published article in Nature Communications, a team of researchers from the University of Virginia -; including Phil Bourne, dean of the School of Data Science, Cam Mura, a senior scientist with the School, and Eli Draizen, a recent UVA alumnus-; offer an AI-driven approach to explore structural similarities and relationships across the protein universe.
Advanced model predicts gene architecture via nucleosome position
DNA—the molecule that carries the genetic information of all living organisms—is packaged within cells in a complex manner that allows it to function efficiently. Nucleosomes facilitate DNA compaction ...
Benchmarking study aims to assist scientists in analyzing spatial transcriptomics data
A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data.
High-resolution structural data shows how a supercomplex links mRNA translation and decay
Messenger RNA (mRNA) serves as a blueprint for proteins. When mRNA is no longer needed, it must be degraded. Director Elena Conti and her team at the Max Planck Institute of Biochemistry in Martinsried ...
Lighting the way with accurate and safe 3D embryo imaging
The inability to accurately predict embryo viability prior to implantation is a key contributor to the low success rate of clinical in-vitro fertilization (IVF), but a team of experts is highlighting ...
A sharper view of the Milky Way with Gaia and machine learning
A group of scientists led by the Leibniz Institute for Astrophysics Potsdam (AIP) and the Institute of Cosmos Sciences at the University of Barcelona (ICCUB) have used a novel machine learning model to ...
last updated on 11 Oct 13:22