Research team achieves high-resolution 2D imaging of graphene devices under high pressure
Current density imaging and evolution of 2D hexagonal boron nitride (hBN)-graphene-hBN devices under high pressure. Credit: Nano Letters (2024). DOI: ...
Tag: imaging
New molecular sensor enables fluorescence imaging to assess sarcoma severity
Credit: Angewandte Chemie International Edition (2024). DOI: 10.1002/anie.202405525 Researchers at Korea University School of Medicine have identified a new candidate ...
Deep imaging techniques reveal galaxies are much larger than previously thought
Visualization of the gaseous envelope of the starburst galaxy IRAS 08339+6517. Credit: Cristy Roberts ANU/ASTRO 3D If this galaxy is ...
3D imaging allows researchers to observe the degradation of micro- and nanoplastics in unprecedented detail
Images of polyethylene microspheres obtained by digital microscopy (a), (c), (d) and by optical microscopy (b), (e), (f). Microplastics are ...
World’s fastest single-shot 2D imaging technique captures ultra-fast flame dynamics
The fsLS-CUP system captures ultrafast image sequences of three main types of laser-induced signals in a flame. The femtosecond (fs) ...
AI-based tongue imaging could help non-invasive detection of coronary heart disease
The tongue diagnostic instrument and the collection process. 1: lens hood, 2: LED light source, 3: high-definition camera, 4: chin ...
New photoacoustic probes enable imaging of deep brain tissue, with the potential to report neuronal activity
New photoacoustic probes allow scientists to delve deeper into the brain by labeling and visualizing neurons. Here, the scientific illustration ...
Large-scale brain imaging study reveals five patterns of age-related degeneration
Surreal-GAN identifies five dimensions of brain aging. Credit: Natural medicine (2024). DOI: 10.1038/s41591-024-03144-x Using a large-scale brain imaging study, an ...
New light transport model improves X-ray phase contrast imaging
Retrieved X-ray attenuation and Laplacian phase image of a wasp. Credit: University of Houston Researchers at the University of Houston ...
Deep learning for real-time molecular imaging
(a) FCSNet is a convolutional neural network (CNN), which takes into account the autocorrelation function of a measurement as input ...
