Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
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 ...
In life sciences, confocal fluorescence microscopy (CFM) is widely regarded for producing high-resolution cellular images. However, it requires fluorescent staining, which poses risks of ...
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 ...
ST. LOUIS, MO, August 20, 2025 - A team of expert scientists led by Kirk Czymmek, PhD, director of the Advanced Bioimaging Laboratory at the Donald Danforth Plant Science Center and Heather E.
Researchers commonly employ fluorescence microscopy to characterize molecular, cellular, and developmental processes in depth. Despite its benefits, scientists can face challenges when imaging their ...
A powerful new microscope called MOSAIC can film living cells in stunning 3D detail, but scientists now need AI to interpret ...
Stanford researchers have developed a microscope that can show how nanostructures interact inside living cells at the highest ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results