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 ...
2don 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 ...
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 ...
What is Structured Illumination Microscopy? Structured Illumination Microscopy (SIM) is a super-resolution fluorescence microscopy technique that allows for imaging beyond the diffraction limit of ...
Professor Iksung Kang, KAIST >Observing the depths of a living brain with clarity has traditionally required expensive, high-end equipment. However ...
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.
A research team at the University of Tokyo has developed a new microscopy platform that can observe a previously hidden layer of biomolecular chemistry linked to weak magnetic fields. The work, led by ...
Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
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