To achieve non-uniform imaging with a large field of view and high efficiency as well as to obtain an adjustable fovea with super-resolution, we proposed a curved retina-like camera array imaging system (CRCS), which is built by an eight-camera array distributed non-uniformly on a curved surface and a camera coaxial with Risley prisms located in the center. By the non-uniform imaging, the field of view of the developed prototype is 150×40 with a reduction of data redundancy by 87.62%. Besides, the experimental results show that CRCS can obtain clear and sharp images of farther targets of interest around the fovea field of view with a constant focal length.
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http://dx.doi.org/10.1364/AO.417466 | DOI Listing |
Alzheimers Dement
December 2024
University of Manitoba, Winnipeg, MB, Canada.
Background: In the last decade, virtual reality has become a popular tool for rehabilitation. It is quite useful in spatial rehabilitation for Alzheimer's disease (AD) as it allows safe navigation in a virtual environment which looks realistic. However, a drawback of virtual reality is cybersickness.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Bristol, Bristol, United Kingdom.
Background: We investigate perceptions of soft robotics in individuals with neurodegenerative diseases (NDD) from diverse communities. Soft robotics is made from soft, flexible materials to make it safer for users. It is a fast-emerging medical field with applications ranging from diagnosis to rehabilitation practices.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
"Dual Perspectives" integrates multiple MRI scans, creating a nuanced synthesis of grey matter and diffusion-based regional connections. This rendering holds particular significance in the realm of Alzheimer's and dementia research by offering a comprehensive examination of data crucial for understanding these complex neurodegenerative conditions. The inclusion of grey matter provides a detailed insight into the structural composition of the brain.
View Article and Find Full Text PDFMediastinum
December 2024
Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, San Diego, CA, USA.
Background And Objective: Diagnosis of pathology in the mediastinum has proven quite challenging, given the wide variability of both benign and malignant diseases that affect a diverse array of structures. This complexity has led to the development of many different non-invasive and invasive diagnostic modalities. Historically, diagnosis of the mediastinum has relied on different imaging modalities such as chest X-ray, computed tomography (CT), magnetic resonance imaging, and positron emission topography.
View Article and Find Full Text PDFPharm Res
January 2025
Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Purpose: The purpose of this study is to present a correlative microscopy-tomography approach in conjunction with machine learning-based image segmentation techniques, with the goal of enabling quantitative structural and compositional elucidation of real-world pharmaceutical tablets.
Methods: Specifically, the approach involves three sequential steps: 1) user-oriented tablet constituent identification and characterization using correlative mosaic field-of-view SEM and energy dispersive X-ray spectroscopy techniques, 2) phase contrast synchrotron X-ray micro-computed tomography (SyncCT) characterization of a large, representative volume of the tablet, and 3) constituent segmentation and quantification of the imaging data through user-guided, iterative supervised machine learning and deep learning.
Results: This approach was implemented on a real-world tablet containing 15% API and multiple common excipients.
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