Data in Brief, 2020 The data provided with this paper are image series of slowly diffusing GlyRa3 molecules, linked to either eGFP or mCherry fluorescent proteins, at the membrane of HEK cells, acquired on a Zeiss LSM880 confocal laser scanning microscope.
Veerle Lemmens +2 more
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Frontiers in Immunology, 2021 PTX3 is a soluble pattern recognition molecule (PRM) belonging to the humoral innate immune system, rapidly produced at inflammatory sites by phagocytes and stromal cells in response to infection or tissue injury.
Andrea Doni +5 more
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Ultra‐low single‐atom Pt on g‐C3N4 for electrochemical hydrogen peroxide production
Carbon Energy, 2023 Platinum‐based materials show excellent electrocatalytic performance and have good potential for use in fuel cells. However, the high cost and scarce reserves have restricted their wide application.
Hongcen Yang +9 more
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Editorial for the Special Issue on Microfluidics for Soft Matter and Mechanobiology
Micromachines, 2020 Microfluidics has proven to be a useful platform to understand the material properties and technical applications of soft matter, including emulsions, polymer solutions, hydrogels, and cellulose papers [...]
Sung Sik Lee
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Neurofilament Levels in Dendritic Spines Associate with Synaptic Status
Cells, 2023 Neurofilaments are one of the main cytoskeletal components in neurons; they can be found in the form of oligomers at pre- and postsynapses. How their presence is regulated at the postsynapse remains largely unclear.
Clara-Marie Gürth +5 more
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Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy
Proceedings of the IEEE, 2020 In recent years, deep learning has been shown to be one of the leading machine learning techniques for a wide variety of inference tasks. In addition to its mainstream applications, such as classification, it has created transformative opportunities for ...
Kevin de Haan +3 more
semanticscholar +1 more source
Deep Learning Microscopy: Enhancing Resolution, Field-of-View and Depth-of-Field of Optical Microscopy Images Using Neural Networks [PDF]
Conference on Lasers and Electro-Optics, 2017 We demonstrate the ability of deep convolutional neural networks to significantly enhance the spatial resolution, field-of-view and depth-of-field of optical microscopy images, without any hardware modification to the imaging system.
Y. Rivenson +5 more
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Correlative stochastic optical reconstruction microscopy and electron microscopy. [PDF]
PLoS ONE, 2015 Correlative fluorescence light microscopy and electron microscopy allows the imaging of spatial distributions of specific biomolecules in the context of cellular ultrastructure.
Doory Kim +5 more
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Use of confocal and multiphoton microscopy for the evaluation of micro-optical components and emitters [PDF]
, 2004 We report on the application of confocal and multiphoton microscopic techniques for the evaluation of the latest generation of micro optical components.
Choi +9 more
core +1 more source
Seeing is Believing: In Situ/Operando Optical Microscopy for Probing Electrochemical Energy Systems
Advanced Materials & Technologies, 2020 This review discusses a range of in situ/operando techniques based on optical microscopy reported in literatures for studying electrochemical energy systems. Compared to other techniques (scanning probe microscopy, electron microscopy, X‐ray microscopy),
Binbin Chen +4 more
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