Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
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Thomas R Huser | Tung-Cheng Wang | Mark Schüttpelz | Marcel Müller | Wolfram Schenck | Zafran Hussain Shah | Philip Maurice Scheidig | Axel Schneider
[1] O. Mandula,et al. Structured illumination microscopy of a living cell , 2009, 2011 International Quantum Electronics Conference (IQEC) and Conference on Lasers and Electro-Optics (CLEO) Pacific Rim incorporating the Australasian Conference on Optics, Lasers and Spectroscopy and the Australian Conference on Optical Fibre Technology.
[2] Tibor Novák,et al. TestSTORM: Versatile simulator software for multimodal super-resolution localization fluorescence microscopy , 2017, Scientific Reports.
[3] Sjoerd Stallinga,et al. Measuring image resolution in optical nanoscopy , 2013, Nature Methods.
[4] M. Sauer,et al. Super-resolution microscopy demystified , 2019, Nature Cell Biology.
[5] Rainer Heintzmann,et al. Super-Resolution Structured Illumination Microscopy. , 2017, Chemical reviews.
[6] Karel Fliegel,et al. SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy , 2015, Bioinform..
[7] Suliana Manley,et al. Quantitative evaluation of software packages for single-molecule localization microscopy , 2015, Nature Methods.
[8] M. Davidson,et al. Time-lapse two-color 3D imaging of live cells with doubled resolution using structured illumination , 2012, Proceedings of the National Academy of Sciences.
[9] M. Gustafsson,et al. Three-dimensional resolution doubling in wide-field fluorescence microscopy by structured illumination. , 2008, Biophysical journal.
[10] M. Gustafsson. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy , 2000, Journal of microscopy.
[11] Bryant B. Chhun,et al. Super-Resolution Video Microscopy of Live Cells by Structured Illumination , 2009, Nature Methods.
[12] P. Dedecker,et al. Quantitative comparison of camera technologies for cost-effective super-resolution optical fluctuation imaging (SOFI) , 2018, Journal of Physics: Photonics.
[13] M. Gustafsson,et al. Super-resolution 3D microscopy of live whole cells using structured illumination , 2011, Nature Methods.
[14] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[15] Jaakko Lehtinen,et al. Noise2Noise: Learning Image Restoration without Clean Data , 2018, ICML.
[16] Yu-Bin Yang,et al. Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections , 2016, NIPS.
[17] Loic A. Royer,et al. Content-aware image restoration: pushing the limits of fluorescence microscopy , 2018, Nature Methods.
[18] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.
[19] Peng Xi,et al. Structured Illumination Microscopy Image Reconstruction Algorithm , 2016, IEEE Journal of Selected Topics in Quantum Electronics.
[20] Fenqiang Zhao,et al. Deep learning enables structured illumination microscopy with low light levels and enhanced speed , 2020, Nature Communications.
[21] Djemel Ziou,et al. Image Quality Metrics: PSNR vs. SSIM , 2010, 2010 20th International Conference on Pattern Recognition.
[22] A. Descloux,et al. Parameter-free image resolution estimation based on decorrelation analysis , 2019, Nature Methods.
[23] Alessandro Foi,et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.
[24] Xiaocong Yuan,et al. Fast structured illumination microscopy via deep learning , 2020 .
[25] Maria Smedh,et al. Successful optimization of reconstruction parameters in structured illumination microscopy – a practical guide , 2018, bioRxiv.
[26] Liangyi Chen,et al. A protocol for structured illumination microscopy with minimal reconstruction artifacts , 2019, Biophysics Reports.
[27] P. Xi,et al. Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy , 2018, Nature Biotechnology.
[28] Atsushi Matsuda,et al. Strategic and practical guidelines for successful structured illumination microscopy , 2017, Nature Protocols.
[29] Thomas Huser,et al. Video-rate multi-color structured illumination microscopy with simultaneous real-time reconstruction , 2019, Nature Communications.
[30] Wolfgang Hübner,et al. Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ , 2016, Nature Communications.
[31] Reto Fiolka,et al. Phase optimisation for structured illumination microscopy. , 2013, Optics express.
[32] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[33] M. van Heel,et al. Fourier shell correlation threshold criteria. , 2005, Journal of structural biology.
[34] Sebastian Ruder,et al. Universal Language Model Fine-tuning for Text Classification , 2018, ACL.
[35] Gavriel Salomon,et al. T RANSFER OF LEARNING , 1992 .
[36] M. Davidson,et al. Noninvasive Imaging beyond the Diffraction Limit of 3D Dynamics in Thickly Fluorescent Specimens , 2012, Cell.