A NEW 100-M DIGITAL ELEVATION MODEL OF THE ANTARCTIC PENINSULA DERIVED FROM ASTER GLOBAL DEM: METHODS AND ACCURACY ASSESSMENT

A new 100-m Digital Elevation Model of the Antarctic Peninsula derived from ASTER Global DEM: methods and accuracy assessment

A high resolution surface topography Digital Elevation Model (DEM) is required to underpin studies of the complex glacier system on the Antarctic Peninsula.A complete DEM with better than 200 m pixel size and high positional and vertical accuracy would enable kakespade mapping of all significant glacial basins and provide a dataset for glacier morp

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Deep learning enables fast, gentle STED microscopy

Abstract STED microscopy is widely used to image subcellular structures with super-resolution.Here, we report that restoring STED probios intelliflora for dogs images with deep learning can mitigate photobleaching and photodamage by reducing the pixel dwell time by one or two orders of magnitude.Our method allows for efficient and robust restoratio

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Pre-surgical fMRI Localization of the Hand Motor Cortex in Brain Tumors: Comparison Between Finger Tapping Task and a New Visual-Triggered Finger Movement Task

Introduction: Pre-surgical mapping is clinically essential in the surgical management of brain tumors to preserve functions.A common technique to localize eloquent areas is functional magnetic resonance imaging (fMRI).In tumors involving the peri-rolandic regions, the finger tapping task (FTT) is typically administered to delineate the the official

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