Results 211 to 220 of about 111,380 (310)

Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography. [PDF]

Biomed Opt Express, 2017
Zaki F, Wang Y, Su H, Yuan X, Liu X.
europepmc   +1 more source

Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring

Advanced Electronic Materials, EarlyView.
Microfluidic‐based wearable electrochemical sensors are transforming non‐invasive health monitoring through real‐time biochemical analysis of sweat, saliva, and interstitial fluid. This review explores advances in microfluidic design, fabrication, and sensor integration while addressing biofluid variability, material compatibility, and scalability.
Sehyun Park, Seongyeop Kim, Soojin Lee, Vladimir V. Tsukruk, SeungHyun Park, Hyo‐Ryoung Lim   +5 more
wiley   +1 more source

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

Advanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source

A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media

Advanced Intelligent Systems, EarlyView.
In this work, a physics‐informed neural network is presented as a digital twin for modeling and studying optically turbid media without requiring reference light. The model learns and integrates complex wavefront modulation behavior, ensuring robustness without explicit calibration.
Mohammadrahim Kazemzadeh, Liam Collard, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging

Advanced Intelligent Systems, EarlyView.
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li, Ka‐Wai Kwok, Magdalena Wysocki, Nassir Navab, Zhongliang Jiang   +4 more
wiley   +1 more source

The Transfer Function, Signal-to-Noise Ratio, and Limiting Magnitude in Stellar Speckle Interferometry [PDF]

, 1974
J. C. Dainty, J. Ring
openalex   +1 more source

High‐Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning

Advanced Intelligent Systems, EarlyView.
Herein, atomic force microscopy (AFM) and machine learning are combined to determine the viscoelastic properties of living cells at the nanoscale. A universal regressor that predicts the viscoelastic properties of mammalian cells from AFM experiments is developed. The regressor predicts the viscoelastic parameters of two cell lines.
Jaime R. Tejedor, Ricardo Garcia
wiley   +1 more source