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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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A statistical resolution measure of fluorescence microscopy with finite photons [PDF]
, 2023 First discovered by Ernest Abbe in 1873, the resolution limit of a far-field microscope is considered determined by the numerical aperture and wavelength of light, approximately $\lambda$/2NA. With the advent of modern fluorescence microscopy and nanoscopy methods over the last century, it is recognized that Abbe's resolution definition alone could not
arxiv +1 more source
Two-photon laser scanning fluorescence microscopy using photonic crystal fibre [PDF]
, 2004 We report the application of a simple yet powerful modular pulse compression system, based on photonic crystal fibres which improves upon incumbent twophoton laser scanning fluorescence microscopy techniques.
Birks +13 more
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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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Scanless multitarget-matching multiphoton excitation fluorescence microscopy [PDF]
Journal of Innovative Optical Health Sciences, 2018 Using the combination of a reflective blazed grating and a reflective phase-only diffractive spatial light modulator (SLM), scanless multitarget-matching multiphoton excitation fluorescence microscopy (SMTM-MPM) was achieved.
Junpeng Qiu +4 more
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Multiple airy beams light-sheet fluorescence microscopy
Frontiers in Physics, 2022 Light-sheet fluorescence microscopy (LSFM) is a kind of volumetric imaging methodology suited for long term living specimens at high temporal-spatial resolution.
Shuangyu Gu +9 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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Evaluating performance in three-dimensional fluorescence microscopy [PDF]
, 2007 In biological fluorescence microscopy, image contrast is often degraded by a high background arising from out of focus regions of the specimen. This background can be greatly reduced or eliminated by several modes of thick specimen microscopy, including ...
Chong F.K. +6 more
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Frontiers in Cell and Developmental Biology, 2022 Intracellular processes depend on a strict spatial and temporal organization of proteins and organelles. Therefore, directly linking molecular to nanoscale ultrastructural information is crucial in understanding cellular physiology.
Sergey V. Loginov +9 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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