Results 61 to 70 of about 4,077 (269)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Oxygen Saturation Imaging Using LED-Based Photoacoustic System

Sensors, 2021
Oxygen saturation imaging has potential in several preclinical and clinical applications. Dual-wavelength LED array-based photoacoustic oxygen saturation imaging can be an affordable solution in this case. For the translation of this technology, there is
Rianne Bulsink, Mithun Kuniyil Ajith Singh, Marvin Xavierselvan, Srivalleesha Mallidi, Wiendelt Steenbergen, Kalloor Joseph Francis   +5 more
doaj   +1 more source

Membrane‐Bound Multimodal Plasmonic Transducers for Noninvasive, In Situ Monitoring and Control of CAR T Cells Against Heterogeneous Solid Tumors

Advanced Materials, EarlyView.
Membrane‐bound multimodal transducers enable longitudinal ultrasound‐guided photoacoustic monitoring and in situ thermal control of CAR T cells in heterogeneous solid tumors. Imaging correlates T cell trafficking with tumor response, distinguishing responders from nonresponders.
Myeongsoo Kim, Ali Zamat, Melissa Cadena, Chloé Thiveaud, Riya Sen, Jeungyoon Lee, Elif Kulaksizoglu, S. Abbey Oliver, Don VanderLaan, Sydney Fábrega, Zizhen Zha, Kelsey P. Kubelick, Jinhwan Kim, Gabriel A. Kwong, Stanislav Y. Emelianov   +14 more
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Deep Neural Network Application in the Phase-Match Calibration of Gas–Microphone Photoacoustics

, 2020
In this paper, a methodology for the application of neural networks in phase-match calibration of gas–microphone photoacoustics in frequency domain is developed. A two-layer deep neural network is used to determine, in real-time, reliably and accurately,
Markushev, Dragan D., Đorđević, Katarina Lj., Kupusinac, Aleksandar, Jordović-Pavlović, Miroslava I., Galović, Slobodanka, Nešić, Mioljub V., Popović, Marica N.   +6 more
core   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Photoacoustics: a novel application to the determination of photosynthetic efficiency in zooxanthellate hermatypes

, 2013
We present here a novel application of photoacoustics to the monitoring and study of the physiological status of zooxanthellate corals. Until now, the method has only been applied in homogeneous phytoplankton cultures and field samples.
Yulia Pinchasov Grinblat, David Mauzerall, Zvy Dubinsky, FALINI, GIUSEPPE, GOFFREDO, STEFANO   +4 more
core   +1 more source

Imaging of Small Vessels Using Photoacoustics: An In Vivo Study [PDF]

, 2004
Background and Objectives: The ability to correctly visualize the architectural arrangement of microvasculature is valuable to many diverse fields in medicine.
Adrichem, Léon, Steenbergen, Wiendelt, de Mul, FFM, van Steenbergen, W, van Adrichem, L.N.A., Siphanto, Ronald I., Kolkman, R.G.M., Steenbergen, W., De Mul, F.F.M., Siphanto, RI (Ronald), van Adrichem, Leon N.A., Huisjes, A., Huisjes, A, Kolkman, Roy G.M., Huisjes, Arjan, Kolkman, RGM, Pilatou, Magdalena C., Siphanto, R.I., Pilatou, M.C., Pilatou, MC, de Mul, Frits F.M.   +20 more
core   +1 more source