Results 1 to 10 of about 3,535,472 (316)
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
Applied Microscopy, 2020 We propose an effective deep learning model to denoise scanning transmission electron microscopy (STEM) image series, named Noise2Atom, to map images from a source domain S $\mathcal {S}$ to a target domain C $\mathcal {C}$ , where S $\mathcal {S}$ is ...
Feng Wang +3 more
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Applied Microscopy, 2022 The Korean trident goby, Tridentiger brevispinis, lives in adverse habitats that can easily become hypoxic due to low precipitation, regional dry periods, and high amounts of solar radiation.
Hyun-Tae Kim
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Depth-dependent EBIC microscopy of radial-junction Si micropillar arrays
Applied Microscopy, 2020 Recent advances in fabrication have enabled radial-junction architectures for cost-effective and high-performance optoelectronic devices. Unlike a planar PN junction, a radial-junction geometry maximizes the optical interaction in the three-dimensional ...
Kaden M. Powell, Heayoung P. Yoon
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A brief review of non-invasive brain imaging technologies and the near-infrared optical bioimaging
Applied Microscopy, 2021 Brain disorders seriously affect life quality. Therefore, non-invasive neuroimaging has received attention to monitoring and early diagnosing neural disorders to prevent their progress to a severe level.
Beomsue Kim +3 more
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Comparative study on the specimen thickness measurement using EELS and CBED methods
Applied Microscopy, 2020 Two thickness measurement methods using an electron energy loss spectroscopy (EELS) and 10a convergent beam electron diffraction (CBED) were compared in an Fe-18Mn-0.7C alloy.
Yoon-Uk Heo
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Fluorescence antibunching microscopy
, 2011 Breaking the diffraction limit in microscopy by utilizing quantum properties of light has been the goal of intense research in the recent years. We propose a quantum superresolution technique based on non-classical emission statistics of fluorescent ...
D. Oron, M. Kendall, O. Schwartz
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Deep learning in computational microscopy [PDF]
, 2019 We propose to use deep convolutional neural networks (DCNNs) to perform 2D and 3D computational imaging. Specifically, we investigate three different applications. We first try to solve the 3D inverse scattering problem based on learning a huge number of
Nehmetallah, George +2 more
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Review on the structural understanding of the 10S myosin II in the era of Cryo-electron microscopy
Applied Microscopy, 2022 The compact smooth muscle 10S myosin II is a type of a monomer with folded tail and the heads bending back to interact with each other. This inactivated form is associated with regulatory and enzymatic activities affecting myosin processivity with actin ...
Anahita Vispi Bharda, Hyun Suk Jung
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Pauli's Principle in Probe Microscopy [PDF]
, 2014 Exceptionally clear images of intramolecular structure can be attained in dynamic force microscopy through the combination of a passivated tip apex and operation in what has become known as the "Pauli exclusion regime" of the tip-sample interaction.
A Riss +47 more
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Theory of scanning gate microscopy [PDF]
, 2013 A systematic theory of the conductance measurements of non-invasive (weak probe) scanning gate microscopy is presented that provides an interpretation of what precisely is being measured.
Gorini, C. +4 more
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