Results 101 to 110 of about 12,048 (256)
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Abstract Background Titanium nanoparticle (TP) migration into peri‐implant bone may influence osseointegration. It remains unclear how loading protocols may affect TP distribution. This study aimed to detect TP in the bone around implants undergoing different loading protocols in Macaca fascicularis.
Fausto Zamparini +8 more
wiley +1 more source
A Nonlinear Quantitative Model for Measuring Concentration Ratios From Raman Intensities
Estimating concentration from Raman intensity ratios is complicated by cross‐contributions from overlapping peaks, causing measured ratios to deviate from the linear behavior assumed in conventional quantitative models. This nonlinear method fully accounts for cross‐contributions, allowing estimation of concentration over several orders of magnitude ...
Joseph Razzell Hollis
wiley +1 more source
Ultrasonic Nondestructive Testing
This Advisory Circular provides guidance for ultrasonic nondestructive testing equipment.
openaire +1 more source
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
Design of a Portable Nondestructive Instrument for Apple Watercore Grade Classification Based on 1DQCNN and Vis/NIR Spectroscopy. [PDF]
Wu H +8 more
europepmc +1 more source
MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images
MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang +6 more
wiley +1 more source
ABSTRACT Purpose To characterize the diffusion properties of prostate epithelium and stroma in benign tissue and cancer. Methods Paired MR microscopy (20 μm) and multidimensional diffusion MRI (dMRI) (160 μm, b = 1000–2000 s/mm2, ∆ = 15–120 ms) were performed at 16.4 T on 17 fixed prostate tissue samples (14× benign, 2× Gleason 3 + 3, 1× Gleason 4 + 4).
Adam Phipps +7 more
wiley +1 more source

