The non-invasive detection blood component has being attracted significant interest in biomedical domain, where the method of near-IR spectroscopy is special. And the dynamic spectrum method can eliminate the main interference of the individual discrepancy and measure conditions. However, due to the requirement of excellent amplitude accuracy and high temporal resolution in spectrum data acquisition system, the CCD must have real time output, the data is large, and a high speed acquisition system is required. In the present paper a CCD data acquisition system based on CPLD is designed. The whole system is controlled by CPLD, which is used to supply CCD timing and controls signal disposal, transmission, sample rate and storage and transmission of data. The system structure is simplified and the speed is improved, and the system meets the requirements of time resolution.
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J Med Imaging (Bellingham)
March 2025
Purdue University, School of Electrical and Computer Engineering, Video and Image Processing Laboratory, West Lafayette, Indiana, United States.
Purpose: The advancement of high-content optical microscopy has enabled the acquisition of very large three-dimensional (3D) image datasets. The analysis of these image volumes requires more computational resources than a biologist may have access to in typical desktop or laptop computers. This is especially true if machine learning tools are being used for image analysis.
View Article and Find Full Text PDFFront Neurosci
February 2025
York Neuroimaging Centre, University of York, York, United Kingdom.
Introduction: A full understanding of how we see our world remains a fundamental research question in vision neuroscience. While topographic profiling has allowed us to identify different visual areas, the exact functional characteristics and organization of areas up in the visual hierarchy (beyond V1 & V2) is still debated. It is hypothesized that visual area V4 represents a vital intermediate stage of processing spatial and curvature information preceding object recognition.
View Article and Find Full Text PDFBiosaf Health
August 2024
Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, the Third People's Hospital of Shenzhen, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China.
In the wake of the largest-ever recorded outbreak of mpox in terms of magnitude and geographical spread in human history since May 2022, we innovatively developed an automated online sewage virus enrichment and concentration robot for disease tracking. Coupled with an artificial intelligence (AI) model, our research aims to estimate mpox cases based on the concentration of the monkeypox virus (MPXV) in wastewater. Our research has revealed a compelling link between the levels of MPXV in wastewater and the number of clinically confirmed mpox infections, a finding that is reinforced by the ability of our AI prediction model to forecast cases with remarkable precision, capturing 87 % of the data's variability.
View Article and Find Full Text PDFMed Phys
March 2025
KU Leuven, Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, Leuven, Belgium.
Background: A number of studies have suggested that there is a need for improved understanding of dento-maxillofacial cone beam computed tomography (CBCT) technology, and to establish optimized imaging protocols. While several ex vivo/in vitro studies, along with a few in vivo studies, have addressed this topic, virtual imaging trials could form a powerful alternative but have not yet been introduced within the field of dento-maxillofacial imaging.
Purpose: To introduce and illustrate the potential of utilizing a virtual imaging trial (VIT) platform for dento-maxillofacial CBCT imaging through a number of case studies.
Materials (Basel)
February 2025
División de Estudios de Posgrado e Investigación, TecNM-Instituto Tecnológico de Morelia, Maestría en Ciencias en Ingeniería Electrónica (MCIE), Av. Tecnológico 1500, Morelia 58120, Mexico.
This study addresses the challenge of monitoring oxide layer formation in 1045 steel, a critical issue affecting mechanical properties and phase stability during high-temperature processes (900 °C). To tackle this, an image processing algorithm was developed to detect and segment regions of interest (ROIs) in oxidized steel surfaces, utilizing infrared thermography as a non-contact, real-time measurement technique. Controlled heating experiments ensured standardized data acquisition, and the algorithm demonstrated exceptional accuracy with performance metrics such as 96% accuracy and a Dice coefficient of 96.
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