Results 21 to 30 of about 1,111,048 (336)
Deep-learning-based methods for super-resolution fluorescence microscopy
Journal of Innovative Optical Health Sciences, 2023 The algorithm used for reconstruction or resolution enhancement is one of the factors affecting the quality of super-resolution images obtained by fluorescence microscopy. Deep-learning-based algorithms have achieved state-of-the-art performance in super-
Jianhui Liao +3 more
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Exploiting speckle correlations to improve the resolution of wide-field fluorescence microscopy [PDF]
, 2014 Fluorescence microscopy is indispensable in nanoscience and biological sciences. The versatility of labeling target structures with fluorescent dyes permits to visualize structure and function at a subcellular resolution with a wide field of view. Due to
Bertolotti, Jacopo +5 more
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Recurrent neural network-based volumetric fluorescence microscopy
Light: Science & Applications, 2021 Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-based volumetric image inference framework that uses 2D images that are ...
Luzhe Huang +4 more
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Fluorescence Microscopy of the HIV-1 Envelope
Viruses, 2020 Human immunodeficiency virus (HIV) infection constitutes a major health and social issue worldwide. HIV infects cells by fusing its envelope with the target cell plasma membrane.
Pablo Carravilla +2 more
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Bleaching‐Resistant Super‐Resolution Fluorescence Microscopy
Advanced Science, 2022 Photobleaching is the permanent loss of fluorescence after extended exposure to light and is a major limiting factor in super‐resolution microscopy (SRM) that restricts spatiotemporal resolution and observation time.
Jiwoong Kwon +2 more
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Fluorescence Microscopy in Adeno-Associated Virus Research
Viruses, 2023 Research on adeno-associated virus (AAV) and its recombinant vectors as well as on fluorescence microscopy imaging is rapidly progressing driven by clinical applications and new technologies, respectively.
Susanne K. Golm +2 more
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, 2005 The scope of this paper is to illustrate the need for an improved quality assurance in fluorometry. For this purpose, instrumental sources of error and their influences on the reliability and comparability of fluorescence data are highlighted for ...
Ebert, P. +7 more
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Computational structured illumination for high-content fluorescent and phase microscopy [PDF]
, 2019 High-content biological microscopy targets high-resolution imaging across large fields-of-view (FOVs). Recent works have demonstrated that computational imaging can provide efficient solutions for high-content microscopy.
Chowdhury, Shwetadwip +2 more
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Advanced Methods in Fluorescence Microscopy
Analytical Cellular Pathology, 2013 It requires a good deal of will power to resist hyperbole in considering the advances that have been achieved in fluorescence microscopy in the last 25 years.
Luke Fritzky, David Lagunoff
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Beyond Range: Innovating Fluorescence Microscopy
Remote Sensing, 2012 Time-of-Flight (ToF) technologies are developed mainly for range estimations in industrial applications or consumer products. Recently, it was realized that ToF sensors could also be used for the detection of fluorescence and of the minute changes in the
Alessandro Esposito
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