Confocal microscopy is a specialized fluorescence imaging technique that scientists use to acquire images at greater resolution than conventional microscopy. 1 In addition to scanning the lateral x ...

Researchers from the Physical Chemistry and Theory departments at the Fritz Haber Institute have found a new way to image layers of boron nitride that are only a single atom thick. This material is ...

Atomic force microscopy, or AFM, is a widely used technique that can quantitatively map material surfaces in three dimensions, but its accuracy is limited by the size of the microscope's probe. A new ...

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 ...

Scanning transmission electron microscopy, or STEM, is a powerful imaging technique that enables researchers to study a material’s morphology, composition, and bonding behavior at the angstrom scale.

From grains of pollen to insects less than a millimeter long, scientists get incredible views of the world by looking through a microscope. And as researchers conduct their studies, sometimes they ...

Nikon just announced the winners of the 2024 Nikon Small World Photomicrography Competition, where scientific microscope images become art. This year’s top prize went to Bruno Cisterna, who (assisted ...

The photo of a spindly nervous system in a tiny juvenile sea star glows in bright yellow, blue, green, purple and pink against a black background. The image of crystal of a topical medicine for wart ...

The microscope is an iconic symbol of the life sciences – and for good reason. From the discovery of the existence of cells to the structure of DNA, microscopy has been a quintessential tool of the ...

Current genetic sequencing techniques can provide much information about the genetic makeup and activity in a sample, like a piece of tissue or a drop of blood. But they are unable to reveal where ...

Researchers have developed a deep learning algorithm for removing systematic effects from atomic force microscopy images, enabling more precise profiles of material surfaces. Atomic force microscopy, ...