Results 151 to 160 of about 7,211,078 (250)

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source

Zwitterionic Polymer Coating Enabled Chronic Dopamine Sensing and Electrophysiology Recording in Free‐Moving Mice

Advanced Healthcare Materials, EarlyView.
Application of a zwitterionic poly(sulfobetaine methacrylate) (PSB) coating to microelectrode arrays and Ag/AgCl reference electrodes effectively inhibits biofouling and structural degradation. This strategy successfully enables simultaneous, long‐term electrophysiological recording and dopamine sensing in freely behaving mice, facilitating ...
Bingchen Wu, Cort Thompson, Thomas Deakin, Yan Xu, Colleen A. McClung, Xinyan Tracy Cui   +5 more
wiley   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Transferable polychromatic optical encoder for neural networks

Nature Communications
Artificial neural networks have fundamentally transformed the field of computer vision, providing unprecedented performance. However, these neural networks for image processing demand substantial computational resources, often hindering real-time ...
Minho Choi, Jinlin Xiang, Anna Wirth-Singh, Seung-Hwan Baek, Eli Shlizerman, Arka Majumdar   +5 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Polymorphic optical networks: a solution for service differentiation at the optical layer

, 2003
This paper proposes a novel polymorphic framework for optical networking as an efficient solution for service differentiation at the optical layer. We show that by simultaneously supporting several optical switching paradigms over a single physical ...
As, van, H.R., Miguel, de, I., Aguado, J.C., Faulkner, D.W., Gonzalez, J.C., Tafur Monroy, I., Blas, J., Koonen, A.M.J.   +7 more
core  

Advancing optical spiking neural networks with exciton-polaritons

JPhys Photonics
In recent years, exciton–polariton microcavities have gained recognition as a highly promising platform for optical neural networks. Furthermore, recent breakthroughs have established exciton-polaritons as a compelling alternative for enabling optical ...
Krzysztof Tyszka, Andrzej Opala, Barbara Piętka   +2 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Training hybrid neural networks with multimode optical nonlinearities using digital twins

The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing size creates a proportionally greater demand for energy and computational ...
Suter, Louis J.E., Yildirim, Mustafa, Moser, Christophe, Psaltis, Demetri, Hsieh, Jih-Liang, Dinc, Niyazi Ulas, Oguz, Ilker   +6 more
core   +1 more source

Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light

Nature Communications
Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources.
Kaiyu Cui, Shijie Rao, Sheng Xu, Yidong Huang, Xusheng Cai, Zhilei Huang, Yu Wang, Xue Feng, Fang Liu, Wei Zhang, Yali Li, Shengjin Wang   +11 more
doaj   +1 more source