Results 131 to 140 of about 7,196 (229)

A CMOS image processing sensor for the detection of image features

, 2005
A compact CMOS vision sensor for the detection of higher level image features, such as corners, junctions (T-, X-, Y-type) and linestops, is presented.
Van der Spiegel, Jan, Nishimura, Masatoshi   +1 more
core  

An Optical Reporting Patch for Spatiotemporal Measurements of Water Activity in Complex Environments. [PDF]

Anal Chem
Wu IF, Jain P, Desai SA, Bacheva V, Sen S, Huber AE, Stroock AD.   +6 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Towards the Development of a Deep Learning Framework Using Adaptive and Non-Adaptive Time-Frequency Features for EEG-Based Depression Therapy Prediction. [PDF]

Brain Sci
Akbari H, Bagherzadeh S, Sedehi JF, Nawaz R, Rostami R, Kazemi R, Muhammad S, Chen H, Mete M.   +8 more
europepmc   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

FMDNet: Spatial-frequency feature routing for low-dose CT denoising. [PDF]

J Appl Clin Med Phys
Yao Y, Liang Y, Xiao W, Zhou Z, Xu Y, Pan Y, Xia X.   +6 more
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

A Lipid‐Conjugation Strategy for Intracellular Reactive Oxygen Species Control in Hepatic Cells

Angewandte Chemie, EarlyView.
A lipid conjugation strategy anchors a manganese Salen complex within phospholipid membranes, yielding stable, catalytically active liposomes. These lipid–metal assemblies efficiently degrade reactive oxygen species (ROS) and enable intracellular redox control in steatotic HepaRG cells, offering a precise route to biomimetic antioxidant design ...
Olav Vestrheim, Huichao Zhao, Anders Bodholt Nielsen, Nino Wili, Niels Chr. Nielsen, Joseph A. Lyons, Rajeshwar Prosad Mookerjee, Brigitte Städler   +7 more
wiley   +2 more sources

Universal photonic processor for spatial mode decomposition. [PDF]

Nat Commun
Sharma V, Brandmüller D, Bütow J, Eismann JS, Banzer P.   +4 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source