Results 131 to 140 of about 12,991 (264)
ABSTRACT We present a new end‐to‐end neural network approach for real‐time biological cell detection and classification via label‐free quantitative imaging flow cytometry based on digital holography, offering a comprehensive representation of cellular structures without the need for chemical cell staining. In contrast to previous studies, our method is
Dana Yagoda‐Aharoni +3 more
wiley +1 more source
A multifunctional SnSe2@MXene heterostructure coated on a separator serves as a catalytic interlayer in Li‐S batteries. This design synergistically integrates the strong polysulfide adsorption and catalytic activity of SnSe2 with the high electrical conductivity of the MXene matrix, effectively suppressing the shuttle effect and enabling long‐term ...
Amirhossein Mirtaleb +2 more
wiley +1 more source
Wearable fabric electronics for sensing, memory and neuromorphic computing applications
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley +1 more source
Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology
Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang +3 more
wiley +1 more source
A personal 360° view of applications of ‘biomimetic’ molecular recognition
Abstract Molecular recognition between biological molecules has formed the basis for innumerable applications in biotechnology for the last seven decades or so. Techniques such as affinity chromatography, solid‐phase and aqueous two‐phase extraction, affinity precipitation, biomimetic catalytic systems, biosensors and molecular imprinting all exploit ...
Christopher R Lowe
wiley +1 more source
Reinforcement Learning Enabled Nanophotonic Devices
A reinforcement learning algorithm is used to design photonic devices. The method creates metagratings and grating couplers that efficiently control both the direction and polarization of light. Further, a reinforcement learning approach is used to design in‐plane integrated photonic devices. This approach paves the way for advanced photonic components
Zi Wang +4 more
wiley +1 more source
Coherence‐Gated Mirau Interferometry for Single‐Shot Quantitative Phase Imaging and Motion Sensing
This paper presents a compact add‐on module converting a Mirau or other on‐axis interferometer into a single‐shot quantitative phase imaging system using coherence gating and precise optical path matching. Demonstrations include time‐resolved imaging of human cells and streaming red blood cells, visualization of evaporation dynamics in liquid mixtures,
Petr Bouchal +4 more
wiley +1 more source
Topological Photonic Devices and Circuits at Terahertz Frequencies
This review examines how 3D topological insulators and emerging topological photonic phases enable robust, low‐loss and defect‐immune terahertz devices. Fundamental properties, device implementations and topological transport mechanisms are surveyed, revealing new opportunities for reconfigurable, high‐performance THz components and scalable ...
Samane Kalhor +3 more
wiley +1 more source

