In PhotoniX, researchers report a self-supervised deep learning method that denoises dynamic fluorescence images in vivo without requiring clean training data. The figure shows in vivo venule images ...
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 ...
This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...
A new two-photon fluorescence microscope developed at UC Davis can capture high-speed images of neural activity at cellular resolution thanks to a new adaptive sampling scheme and line illumination.
Biologists are very interested in how proteins, lipids and other compounds are organized and interact in systems. Very few organizational details can be gained by using standard transmission-based ...
In recent years, fluorescence quenching microscopy (FQM) 1-3 has emerged as a viable technique that allows for the swift, cost-effective, and accurate imaging of two-dimensional (2D) materials like ...
Christophe Leterrier uses advanced microscopy to uncover neurons’ intricate nanostructure and dynamics while creating ...
11don MSN
AI computation enables clearer views of the deep brain, bypassing the need for expensive equipment
Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji's research team at UC ...
Professor Iksung Kang, KAIST >Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However ...
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