Retrieving neuronal orientations using 3D scanning SAXS and comparison with diffusion MRI
暂无分享,去创建一个
Manuel Guizar-Sicairos | Aileen Schroeter | Markus Rudin | Dmitry S. Novikov | Els Fieremans | Marios Georgiadis | Zirui Gao | M. Guizar‐Sicairos | M. Rudin | E. Fieremans | D. Novikov | M. Georgiadis | A. Schroeter | Zirui Gao | Aileen Schroeter
[1] Lee Makowski,et al. Myelin Organization in the Nodal, Paranodal, and Juxtaparanodal Regions Revealed by Scanning X-Ray Microdiffraction , 2014, PloS one.
[2] J. N. Mrgudich,et al. X-RAY DIFFRACTION STUDIES, ON NERVE. , 1934, Science.
[3] Jens H Jensen,et al. Evaluating kurtosis‐based diffusion MRI tissue models for white matter with fiber ball imaging , 2017, NMR in biomedicine.
[4] C. R. Worthington,et al. Low angle X-ray diffraction patterns of squid retina , 1976, Nature.
[5] Deepika Agrawal,et al. Internodal myelination during development quantitated using X-ray diffraction. , 2009, Journal of structural biology.
[6] X-RAY DIFFRACTION STUDIES, ON NERVE. , 1935, Science.
[7] F. O. Schmitt,et al. THE ROLE OF LIPOIDS IN THE X-RAY DIFFRACTION PATTERNS OF NERVE. , 1935, Science.
[8] R. Sidman,et al. X-ray diffraction study of myelin structure in immature and mutant mice. , 1976, Biochimica et biophysica acta.
[9] Els Fieremans,et al. Revealing mesoscopic structural universality with diffusion , 2014, Proceedings of the National Academy of Sciences.
[10] P. Funk. Über eine geometrische Anwendung der Abelschen Integralgleichung , 1915 .
[11] N. Makris,et al. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity , 2002, Magnetic resonance in medicine.
[12] M. Moscarello,et al. Changes in lipid phase behaviour in human myelin during maturation and aging , 1983, FEBS letters.
[13] Bert Müller,et al. Nanomethods: Scanning X-ray scattering: Evaluating the nanostructure of human tissues , 2010 .
[14] K. K. W. Siua,et al. Identifying markers of pathology in SAXS data of malignant tissues of the brain , 2005 .
[15] P. Basser,et al. Estimation of the effective self-diffusion tensor from the NMR spin echo. , 1994, Journal of magnetic resonance. Series B.
[16] R. Franklin,et al. Molecular Configuration in Sodium Thymonucleate , 1953, Nature.
[17] O. Bunk,et al. Nanostructure surveys of macroscopic specimens by small-angle scattering tensor tomography , 2015, Nature.
[18] A. Scheibel,et al. Fiber composition of the human corpus callosum , 1992, Brain Research.
[19] Timo Dickscheid,et al. High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging , 2011, Front. Neuroinform..
[20] Jan Sijbers,et al. Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls , 2013, NeuroImage.
[21] Davi D Bock,et al. Volume electron microscopy for neuronal circuit reconstruction , 2012, Current Opinion in Neurobiology.
[22] Tim Salditt,et al. Three-dimensional virtual histology of human cerebellum by X-ray phase-contrast tomography , 2018, Proceedings of the National Academy of Sciences.
[23] Manuel Guizar-Sicairos,et al. Efficient subpixel image registration algorithms. , 2008, Optics letters.
[24] Jelle Veraart,et al. In vivo quantification of demyelination and recovery using compartment-specific diffusion MRI metrics validated by electron microscopy , 2016, NeuroImage.
[25] C. Beaulieu,et al. The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.
[26] S. Blackband,et al. Diffusion tensor microscopy data (15.6 μm in-plane) of white matter tracts in the human, pig, and rat spinal cord with corresponding tissue histology , 2016, Data in brief.
[27] Manuel Guizar-Sicairos,et al. Small-angle X-ray scattering tensor tomography: model of the three-dimensional reciprocal-space map, reconstruction algorithm and angular sampling requirements , 2018, Acta crystallographica. Section A, Foundations and advances.
[28] Jelle Veraart,et al. Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI , 2018, NeuroImage.
[29] J. Thompson,et al. Alteration of lipid-phase behavior in multiple sclerosis myelin revealed by wide-angle x-ray diffraction. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[30] S. Mori,et al. Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research , 2006, Neuron.
[31] R. Bear,et al. An X‐ray diffraction comparison of myelins from the human nervous system , 1978, The Journal of comparative neurology.
[32] O. Bunk,et al. Ultrastructure Organization of Human Trabeculae Assessed by 3D sSAXS and Relation to Bone Microarchitecture , 2016, PloS one.
[33] D. Kirschner,et al. Compact myelin exists in the absence of basic protein in the shiverer mutant mouse , 1980, Nature.
[34] O. Moran,et al. An X-ray diffraction study of changes in myelin structure during experimental allergic neuritis , 1987, Journal of neurocytology.
[35] M. Burghammer,et al. Myelin structure in unfixed, single nerve fibers: Scanning X-ray microdiffraction with a beam size of 200nm. , 2017, Journal of structural biology.
[36] M. Axer,et al. Post-mortem inference of the human hippocampal connectivity and microstructure using ultra-high field diffusion MRI at 11.7 T , 2018, Brain Structure and Function.
[37] P. Funk. Über Flächen mit lauter geschlossenen geodätischen Linien , 1913 .
[38] F. Pfeiffer,et al. Brain Connectivity Exposed by Anisotropic X-ray Dark-field Tomography , 2018, Scientific Reports.
[39] L. Frank. Anisotropy in high angular resolution diffusion‐weighted MRI , 2001, Magnetic resonance in medicine.
[40] J. Helpern,et al. Monte Carlo study of a two‐compartment exchange model of diffusion , 2010, NMR in biomedicine.
[41] T. Salditt,et al. Imaging of neuronal tissues by x-ray diffraction and x-ray fluorescence microscopy: evaluation of contrast and biomarkers for neurodegenerative diseases. , 2017, Biomedical optics express.
[42] Michael A. King,et al. Cellular-level diffusion tensor microscopy and fiber tracking in mammalian nervous tissue with direct histological correlation , 2010, NeuroImage.
[43] S. Köster,et al. Imaging of Biological Materials and Cells by X-ray Scattering and Diffraction. , 2017, ACS nano.
[44] Katrin Amunts,et al. Understanding fiber mixture by simulation in 3D Polarized Light Imaging , 2015, NeuroImage.
[45] Franz Pfeiffer,et al. Non-iterative Directional Dark-field Tomography , 2017, Scientific Reports.
[46] R. Caminiti,et al. Diameter, Length, Speed, and Conduction Delay of Callosal Axons in Macaque Monkeys and Humans: Comparing Data from Histology and Magnetic Resonance Imaging Diffusion Tractography , 2013, The Journal of Neuroscience.
[47] Giorgio Margaritondo,et al. Q&A: Why use synchrotron x-ray tomography for multi-scale connectome mapping? , 2017, BMC Biology.
[48] Joseph A. Helpern,et al. Random walk with barriers , 2010, Nature physics.
[49] Manuel Guizar-Sicairos,et al. High-speed tensor tomography: iterative reconstruction tensor tomography (IRTT) algorithm , 2019, Acta crystallographica. Section A, Foundations and advances.
[50] Masao Kakudo,et al. Small Angle Scattering of X-Rays , 1968 .
[51] T. M. Marin-Padilla,et al. Origin, prenatal development and structural organization of layer I of the human cerebral (motor) cortex , 1982, Anatomy and Embryology.
[52] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[53] F. Pfeiffer,et al. Six-dimensional real and reciprocal space small-angle X-ray scattering tomography , 2015, Nature.
[54] Manuel Guizar-Sicairos,et al. 3D scanning SAXS: a novel method for the assessment of bone ultrastructure orientation. , 2015, Bone.
[55] R. Woods,et al. Direct Visualization and Mapping of the Spatial Course of Fiber Tracts at Microscopic Resolution in the Human Hippocampus , 2016, Cerebral cortex.
[56] Nico Scherf,et al. Developing 3D microscopy with CLARITY on human brain tissue: Towards a tool for informing and validating MRI-based histology , 2017, NeuroImage.
[57] G. Falzon,et al. Myelin structure is a key difference in the x-ray scattering signature between meningioma, schwannoma and glioblastoma multiforme , 2007, Physics in medicine and biology.
[58] A. Blaurock,et al. Low-angle x-ray diffraction patterns from a variety of myelinated nerves. , 1969, Biochimica et biophysica acta.
[59] Franz Pfeiffer,et al. Molecular X-ray computed tomography of myelin in a rat brain , 2011, NeuroImage.
[60] R. Aspden,et al. Determination of the direction of preferred orientation and the orientation distribution function of collagen fibrils in connective tissues from high-angle X-ray diffraction patterns , 1979 .
[61] Roberto Dinapoli,et al. PILATUS: A single photon counting pixel detector for X-ray applications , 2009 .
[62] Stephen M. Smith,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[63] Jelle Veraart,et al. Diffusion MRI noise mapping using random matrix theory , 2016, Magnetic resonance in medicine.
[64] Susumu Mori,et al. The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains , 2017, NeuroImage.
[65] Jan Sijbers,et al. Denoising of diffusion MRI using random matrix theory , 2016, NeuroImage.
[66] D. Kirschner,et al. Myelin membrane structure at 10 A resolution. , 1971, Nature: New biology.
[67] Konrad P. Körding,et al. Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography , 2016, eNeuro.
[68] Jelle Veraart,et al. Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline , 2018, NeuroImage.
[69] Franz Pfeiffer,et al. Multimodal x-ray scatter imaging , 2009 .
[70] Bibek Dhital,et al. Gibbs‐ringing artifact removal based on local subvoxel‐shifts , 2015, Magnetic resonance in medicine.
[71] Alan Connelly,et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.
[72] K. Deisseroth,et al. CLARITY for mapping the nervous system , 2013, Nature Methods.
[73] Yong-Chun Yu,et al. Development of layer 1 neurons in the mouse neocortex. , 2014, Cerebral cortex.
[74] Bennett A. Landman,et al. Histological validation of diffusion MRI fiber orientation distributions and dispersion , 2018, NeuroImage.
[75] Sariel Har-Peled,et al. Random Walks , 2021, Encyclopedia of Social Network Analysis and Mining.
[76] Derek K. Jones,et al. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.
[77] D. Kirschner,et al. Processing for electron microscopy alters membrane structure and packing in myelin. , 1980, Journal of ultrastructure research.
[78] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[79] G. Ball,et al. Voxel-wise comparisons of cellular microstructure and diffusion-MRI in mouse hippocampus using 3D Bridging of Optically-clear histology with Neuroimaging Data (3D-BOND) , 2018, Scientific Reports.
[80] D. Tuch. Q‐ball imaging , 2004, Magnetic resonance in medicine.
[81] K. J. Palmer,et al. X‐ray diffraction studies on the structure of the nerve myelin sheath , 1941 .