DEEP LEARNING ENABLES FAST, GENTLE STED MICROSCOPY

Deep learning enables fast, gentle STED microscopy

Abstract STED microscopy is widely used to image subcellular structures with super-resolution.Here, Shipping-Fee we report that restoring STED 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 MIXED BERRY restoration of

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Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration

The large-scale integration of renewable energy sources (RESs) and the rapid development of loads cause frequent transmission congestion in the urban power grid (UPG).Transmission Cleaning Cloth system operators usually perform the high-voltage distribution network (HVDN) reconfiguration to mitigate the transmission congestion.However, as the loads

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The Higgs boson couplings: past, present, and future. The relationships between Higgs boson and other known particles as measured by current and future experiments

The discovery of the Higgs boson, a fundamental particle of the Standard Model, at the Large Hadron Collider (LHC) in 2012, marked a monumental milestone in the field of particle physics.Since then, extensive research has been conducted to understand the properties and interactions of the Higgs boson, particularly its couplings with other known par

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