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.

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Researchers designed a computational framework that consists of a compact metalens-integrated microscope and a transformer-based neural network, which enables large FOV and subpixel resolution imaging ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A new AI model generates realistic synthetic microscope images of atoms, providing scientists with reliable training data to accelerate materials research and atomic scale analysis. (Nanowerk ...

(a) MLAO was embedded in the microscope control to improve imaging quality by modulate the illumination light. Right-hand side showed an example of one operation cycle using MLAO. After using MLAO ...

Researchers have developed a new two-photon fluorescence microscope that captures high-speed images of neural activity at cellular resolution. By imaging much faster and with less harm to brain tissue ...