Most existing techniques that are typically used by specialists to image the cornea are based on point, slit, or annular scanning due to a narrow field of view. The difficulty in achieving a larger field of view comes from the convex shape of the human eyeball. Field curvature for a refractive imaging system with positive power is typically negative and thus a concave image surface. In order to view the full cornea and sclera with snapshot imaging, we calculate qualified two- and three-mirror solutions from Seidel aberration theory. A three-mirror solution is further optimized as a high-resolution off-axis imaging system using freeform surfaces, which can obtain a full-field tailored image shell without scanning. The lateral resolution on the cornea is about 10 μm with good modulation transfer function (MTF) and spot performance. To ease the assembly, a monolithic design is achieved with slightly lower resolution, leading to a potential mass production solution.
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http://dx.doi.org/10.1364/AO.56.005630 | DOI Listing |
Diagnosis (Berl)
January 2025
Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Objectives: To examine factors impacting diagnostic evaluation of suspected deep vein thrombosis (DVT) by analyzing the test ordering patterns and provider decision-making within a universal health coverage system in Hungary.
Methods: We analyzed test orders for suspected DVT between 2007 and 2020, and the financial framework influencing diagnostic practices. An anonymous survey was also conducted among Emergency Department physicians to explore factors influencing diagnostic decision-making.
Neurol Neuroimmunol Neuroinflamm
March 2025
Department of Neurology with Institute of Translational Neurology, University Hospital 4 Münster, Germany.
Background And Objectives: Levels of activated complement proteins in the CSF are increased in people with multiple sclerosis (MS) and are associated with clinical disease severity. In this study, we determined whether complement activation profiles track with quantitative MRI metrics and liquid biomarkers indicative of disease activity and progression.
Methods: Complement components and activation products (Factor H and I, C1q, C3, C4, C5, Ba, Bb, C3a, C4a, C5a, and sC5b-9) and liquid biomarkers (neurofilament light chain, glial fibrillary acidic protein [GFAP], CXCL-13, CXCL-9, and IL-12b) were quantified in the CSF of 112 patients with clinically isolated syndromes and 127 patients with MS; longitudinal MRIs according to a standardized protocol of the Swiss MS cohort were assessed.
Proc Natl Acad Sci U S A
January 2025
Department of Mathematics, Western University, London, ON N6A 3K7, Canada.
We study image segmentation using spatiotemporal dynamics in a recurrent neural network where the state of each unit is given by a complex number. We show that this network generates sophisticated spatiotemporal dynamics that can effectively divide an image into groups according to a scene's structural characteristics. We then demonstrate a simple algorithm for object segmentation that generalizes across inputs ranging from simple geometric objects in grayscale images to natural images.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Biochemistry Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Lysosomal pH dysregulation is a critical element of the pathophysiology of neurodegenerative diseases, cancers, and lysosomal storage disorders (LSDs). To study the role of lysosomes in pathophysiology, probes to analyze lysosomal size, positioning, and pH are indispensable tools. Here, we developed and characterized a ratiometric genetically encoded lysosomal pH probe, RpH-ILV, targeted to a subpopulation of lysosomal intraluminal vesicles.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities.
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