Researchers in Nikolaus Rajewsky's lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor's cellular neighborhoods in 3D and identify potential targets ...

Importantly, this was achieved using 3D Raman imaging, a noninvasive method that provides detailed, spatial insights into the chemical reactions occurring within live cells. Their study revealed ...

This advanced technique uses photoacoustic imaging (PAI), enhanced by an automated segmentation algorithm, to provide real-time, high-resolution, three-dimensional (3D) images of skin tumours.

Since the users’ location and traffic demand vary over time, we dynamically group users into clusters using a K-means-based algorithm and adjust the 3D location of UAV-BSs using an actor-critic deep ...

In this study, we proposed a deep learning-based model utilizing the Mask Regional Convolutional Neural Network (Mask R-CNN) architecture for segmentation of cells in PhC images. To optimize the ...

School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710129, China ...

School of Physics and Technology, Key Laboratory of Artificial Micro/Nano Structures of Ministry of Education, Wuhan University, Wuhan, Hubei 430072, China ...

They equipped it with a small, high-frequency imaging device to capture detailed 3D images of internal tissues. “For the first time, this research enables us to reconstruct a 3D ultrasound ...

Unlike traditional microscopes that use light or lenses, DNA microscopy creates images ... in 3D. First, short DNA sequence tags called unique molecular identifiers (UMIs) are added to cells.

To better understand this problem, researcher Tonye Jack used the Canadian Light Source (CLS) at the University of Saskatchewan (USask) to capture a 3D view of the cracks formed in steels. Researchers ...