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 ...

From overcoming classical optical limits to tracking single proteins in real time, super-resolution imaging continues to ...

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 hybrid microscope allows scientists to simultaneously image the full 3D orientation and position of an ensemble of molecules, such as labeled proteins inside cells. The microscope combines polarized ...

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 ...

Multiphoton microscopy is used in biomedical research to study cells and tissues. Today, so-called two-photon microscopy is used to study processes within cells, but the technique has limitations in ...

There is a constant war going on in your body. Working against you are viruses and cancer cells growing uncontrollably, threatening your tissues and organs. Fighting on your side are immune cells such ...

Deep neural networks such as UNet, RCAN and SwinIR have achieved remarkable success in image restoration and enhancement and have been widely adopted in fluorescence microscopy. By learning mappings ...