Optical metasurfaces have enabled analog computing and image processing within sub-wavelength footprints, and with reduced power consumption and faster speeds. While various image processing metasurfaces have been demonstrated, most of the considered devices are static and lack reconfigurability. Yet, the ability to dynamically reconfigure processing operations is key for metasurfaces to be used within practical computing systems. Here, we demonstrate a passive edge-detection metasurface operating in the near-infrared regime whose response can be drastically modified by temperature variations smaller than 10 °C around a CMOS-compatible temperature of 65 °C. Such reconfigurability is achieved by leveraging the insulator-to-metal phase transition of a thin layer of vanadium dioxide, which strongly alters the metasurface nonlocal response. Importantly, this reconfigurability is accompanied by performance metrics-such as numerical aperture, efficiency, isotropy, and polarization-independence - close to optimal, and it is combined with a simple geometry compatible with large-scale manufacturing. Our work paves the way to a new generation of ultra-compact, tunable and passive devices for all-optical computation, with potential applications in augmented reality, remote sensing and bio-medical imaging.
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http://dx.doi.org/10.1038/s41467-024-48783-3 | DOI Listing |
Hum Brain Mapp
January 2025
Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland.
The human brain connectome is characterized by the duality of highly modular structure and efficient integration, supporting information processing. Newborns with congenital heart disease (CHD), prematurity, or spina bifida aperta (SBA) constitute a population at risk for altered brain development and developmental delay (DD). We hypothesize that, independent of etiology, alterations of connectomic organization reflect neural circuitry impairments in cognitive DD.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
Cureus
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Radiology, Fernandez Hospital, Hyderabad, IND.
Urological malignancies during pregnancy are exceedingly rare, with bladder cancer posing significant diagnostic and management challenges. This study describes a 28-year-old pregnant woman diagnosed with non-invasive papillary urothelial carcinoma, presenting with painless hematuria at 22 weeks of gestation. The diagnostic process included ultrasound and MRI, both of which confirmed a solitary polypoidal lesion.
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December 2023
Division of Cardiothoracic Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Constrictive pericarditis is a surgical disease that requires removal of the pericardium. In cases in which the disease process involves the epicardium, removing the pericardium may not adequately treat the constrictive process. Current imaging techniques are limited in their ability to preoperatively determine epicardial involvement.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
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Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
We present a case of robot-assisted complex anatomical segmentectomy utilizing Resection Process Map (RPM) software. RPM enables the confirmation of internal structures obscured by lung parenchyma, thereby reducing the risk of injury or misidentification to essential structures. It facilitates an accurate understanding of anatomy beyond processed vessels, fostering collaboration among the surgical team and informed discussions.
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