Researchers in Göttingen have developed a dedicated microfluidics system that improves reproducibility and accessibility in multiplexed super-resolution microscopy, allowing scientists to ...

To unravel the complexities of biological phenomena, scientists have long relied on microscopy to visualize the intricate details of their specimens, including tissue architecture, cell morphology, ...

It has been over a decade since super-resolution microscopy was awarded the 2014 Nobel Prize in Chemistry, and after tremendous advancements over the years, it is on its way to becoming a standard ...

Serine serves as a metabolic nexus in tumors, coordinating one-carbon metabolism, nucleotide synthesis, and redox regulation. In recent years, targeting the serine metabolic pathway, particularly the ...

Existing super-resolution techniques still face considerable challenges in complex deep tissue environments. For example, Stimulated Emission Depletion (STED) microscopy relies on a doughnut-shaped ...

The brain relies on real-time delivery of oxygen and nutrients through its microvasculature, which threads through neural ...

eDL-cSIM: An AI-driven super-resolution imaging method that captures high-quality live-cell dynamics in a single exposure, enhancing speed, resolution, and environmental robustness for advanced ...

When single-molecule super-resolution microscopes were first commercialized some 15 years ago, they made headlines for their ability to resolve individual molecules and structures at the nanometer ...

Explore advances in protein imaging techniques and spatial proteomics. Learn how modern imaging tools reveal protein dynamics and organization in cells.

Structured illumination microscopy (SIM) is the most preferable system for live-cell super-resolution imaging. It enables the observation of intricate subcellular dynamics. However, conventional SIM ...

When analyzed with a grating, the amplified Raman signals provide extremely high-resolution spectra that surpass traditional instrumental limits by employing super-resolution correlation methods.