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 ...

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 ...

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

A team from The Hebrew University of Jerusalem has introduced a new method for megapixel-scale fluorescence microscopy through complex scattering media. This approach resolves high-resolution 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 ...

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.

Three-dimensional fluorescence imaging of neurons in Layer 5 of the cerebral cortex, captured by two-photon microscopy in mice expressing a fluorescent protein (Thy1-EYFP-H). SeeDB-Live clearing ...

Researchers propose building fluorescence directly into microplastic polymer structures, enabling stable real-time imaging of how particles move, accumulate, and degrade in biological systems. Global ...

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 ...

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 ...