Nearly 150 years ago, scientists began to imagine how information might flow through the brain based on the shapes of neurons ...

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Above: The protein CD9 in an activated human macrophage, captured using super-resolution microscopy (STED) - Ashley Ambrose and Daniel M. Davis, University of Manchester An exclusive extract from ...

Researchers at the University of California, Irvine have developed a live-imaging system, Phollow, that tracks individual ...

A joint research team has developed a modular protein adapter technology that enables the stable attachment of various ...

The human genome is like a big ball of yarn, made up of 3 billion molecular units arranged in sequence and then wrapped up ...

We aim at accelerating super-resolution (SR) networks on large images (2K-8K). The large images are usually decomposed into small sub-images in practical usages. Based on this processing, we found ...

Nikon Instruments Inc. announced the opening of its newest Nikon Center of Excellence imaging facility at the University of ...

Abstract: The application of generative adversarial networks (GANs) has recently advanced speech super-resolution (SR) based on intermediate representations like mel-spectrograms. However, existing SR ...

Philip Tinnefeld from LMU is coordinating a new doctoral training network at the interface of physics, chemistry, biology, and engineering.

To enhance image quality, this paper proposes a multilayer residual network super-resolution reconstruction method that utilizes an attention mechanism. This method effectively extracts high-frequency ...