Results 221 to 230 of about 10,506 (277)
Laser speckle contrast imaging for real-time quantification of colonic perfusion following high versus low tie in anterior rectal resection surgery: a pilot prospective study. [PDF]
Yu JZ +8 more
europepmc +1 more source
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash +4 more
wiley +1 more source
Factors Associated With Ocular Perfusion Measurements as Obtained With Laser Speckle Contrast Imaging. [PDF]
Fröhlich J +7 more
europepmc +1 more source
Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim +7 more
wiley +1 more source
Cerebral blood flow patterns induced by photoactivation based on laser speckle contrast imaging. [PDF]
Zhu X, Shi L, Li P, Lu J.
europepmc +1 more source
Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang +5 more
wiley +1 more source
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Coagulation depth estimation using a line scanner for depth-resolved laser speckle contrast imaging. [PDF]
Johansson JD, Hultman M, Saager R.
europepmc +1 more source

