Guided-deconvolution for correlative light and electron microscopy
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R. Heintzmann | C. Dehio | S. Hoeppener | M. Figge | R. Kaufmann | Z. Cseresnyés | Jaroslaw Sedzicki | F. Ma
[1] Yvan Saeys,et al. An interactive ImageJ plugin for semi-automated image denoising in electron microscopy , 2020, Nature Communications.
[2] Anna Medyukhina,et al. DeconvTest: Simulation framework for quantifying errors and selecting optimal parameters of image deconvolution , 2020, Journal of biophotonics.
[3] Xi Chen,et al. Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network , 2018, Front. Neuroanat..
[4] D. Peckys,et al. The 2018 correlative microscopy techniques roadmap , 2018, Journal of physics D: Applied physics.
[5] R. Youle,et al. Molecular and topological reorganizations in mitochondrial architecture interplay during Bax-mediated steps of apoptosis , 2018, bioRxiv.
[6] Karl Rohr,et al. Bayesian joint super-resolution, deconvolution, and denoising of images with Poisson-Gaussian noise , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[7] H. Stahlberg,et al. 3D correlative electron microscopy reveals continuity of Brucella-containing vacuoles with the endoplasmic reticulum , 2018, Journal of Cell Science.
[8] H. Sebastian Seung,et al. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification , 2017, Bioinform..
[9] R. Heintzmann,et al. Metal–Polymer Hybrid Nanoparticles for Correlative High‐Resolution Light and Electron Microscopy , 2017 .
[10] Jean Salamero,et al. eC-CLEM: flexible multidimensional registration software for correlative microscopies , 2017, Nature Methods.
[11] Stephan Saalfeld,et al. Robust registration of calcium images by learned contrast synthesis , 2015, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[12] Ilan Davis,et al. Correlative in-resin super-resolution and electron microscopy using standard fluorescent proteins , 2015, Scientific Reports.
[13] Ferréol Soulez,et al. Blind deconvolution of 3D data in wide field fluorescence microscopy , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[14] Louis K. Scheffer,et al. Semi-automated reconstruction of neural circuits using electron microscopy , 2010, Current Opinion in Neurobiology.
[15] Jocelyn Laporte,et al. From Dynamic Live Cell Imaging to 3D Ultrastructure: Novel Integrated Methods for High Pressure Freezing and Correlative Light-Electron Microscopy , 2010, PloS one.
[16] M. N. Lebbink,et al. Template matching as a tool for annotation of tomograms of stained biological structures. , 2007, Journal of structural biology.
[17] P. Verveer,et al. A comparison of image restoration approaches applied to three‐dimensional confocal and wide‐field fluorescence microscopy , 1999, Journal of microscopy.
[18] Flavio R. Dias Velasco,et al. Thresholding Using the Isodata Clustering Algorithm , 1979 .
[19] E. Wolf,et al. Electromagnetic diffraction in optical systems, II. Structure of the image field in an aplanatic system , 1959, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[20] J. Sibarita. Deconvolution microscopy. , 2005, Advances in biochemical engineering/biotechnology.
[21] Badrinath Roysam,et al. Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution , 1995 .
[22] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[23] William H. Richardson,et al. Bayesian-Based Iterative Method of Image Restoration , 1972 .