Results 171 to 180 of about 29,698,260 (294)

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Review of the Gate Structure for Normally Off p-GaN High-Electron-Mobility Transistors Towards High Performances. [PDF]

Materials (Basel)
Pu T, Li X, Li L, Ao JP.
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Device Design Implications on <i>R</i>_ON×<i>Q</i>_OSS FOM in p-GaN Power HEMTs: A Simulation Study. [PDF]

Micromachines (Basel)
Zagni N, Verzellesi G, Chini A.
europepmc   +1 more source

Hole Injection Effect and Dynamic Characteristic Analysis of Normally Off p-GaN HEMT with AlGaN Cap Layer on Low-Resistivity SiC Substrate. [PDF]

Micromachines (Basel), 2022
Wang HC, Liu CH, Huang CR, Chiu HC, Kao HL, Liu X.   +5 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

The Impact of Load-Dump Stress on p-GaN HEMTs Under Floating Gate Condition. [PDF]

Micromachines (Basel)
Shen Z, Shi Y, Wu L, He L, Chen X, Chen Y, Zhao D, He J, Zhu G, Zeng H, Lu G.   +10 more
europepmc   +1 more source

The Influence of the Different Repair Methods on the Electrical Properties of the Normally off p-GaN HEMT. [PDF]

Micromachines (Basel), 2021
Niu D, Wang Q, Li W, Chen C, Xu J, Jiang L, Feng C, Xiao H, Wang Q, Xu X, Wang X.   +10 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Beating the p-GaN challenge

III-Vs Review, 2005
openaire   +1 more source