Even those who maintain that super-resolution microscopy is a powerful tool of biological discovery have admitted that it may have a bit of an image problem. For example, in a recent review, several ...
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 ...
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, ...
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 ...
Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...
Hosted on MSN
Triangle structured illumination microscopy developed for sustained live-cell super-resolution imaging
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 ...
The rapid evolution of microscopy techniques has transformed our ability to visualise biological structures and processes at unprecedented resolutions. Advances in live‐cell imaging, super‐resolution ...
MINFLUX is a super-resolution microscopy protocol designed to improve the localizing of specific photon emitters in space. Developed in 2016 by a German team including super-resolution pioneer and ...
According to MarketsandMarkets™, the Microscopy Market is projected to grow from about USD 8.81 billion in 2025 to USD 11.44 billion by 2031, at a CAGR of 5.5%.
Current calibration methods rely on artificially constructed DNA structures or specific cellular features, each with significant drawbacks. DNA-based rulers require complex chemical synthesis and only ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results