Extending two-dimensional histology into the third dimension through conventional micro computed tomography

Histological examination achieves sub-micrometer resolution laterally. In the third dimension, however, resolution is limited to section thickness. In addition, histological sectioning and mounting sections on glass slides introduce tissue-dependent stress and strain. In contrast, state-of-the-art hard X-ray micro computed tomography (μCT) systems provide isotropic sub-micrometer resolution and avoid sectioning artefacts. The drawback of μCT in the absorption contrast mode for visualising physically soft tissue is a low attenuation difference between anatomical features. In this communication, we demonstrate that formalin-fixed paraffin-embedded human cerebellum yields appropriate absorption contrast in laboratory-based μCT data, comparable to conventional histological sections. Purkinje cells, for example, are readily visible. In order to investigate the pros and cons of complementary approaches, two- and three-dimensional data were manually and automatically registered. The joint histogram of histology and the related μCT slice allows for a detailed discussion on how to integrate two-dimensional information from histology into a three-dimensional tomography dataset. This methodology is not only rewarding for the analysis of the human cerebellum, but it also has relevance for investigations of tissue biopsies and post-mortem applications. Our data indicate that laboratory-based μCT as a modality can fill the gap between synchrotron radiation-based μCT and histology for a variety of tissues. As the information from haematoxylin and eosin (H&E) stained sections and μCT data is related, one can colourise local X-ray absorption values according to the H&E stain. Hence, μCT data can correlate and virtually extend two-dimensional (2D) histology data into the third dimension.

[1]  R. Woods,et al.  Mapping Histology to Metabolism: Coregistration of Stained Whole-Brain Sections to Premortem PET in Alzheimer's Disease , 1997, NeuroImage.

[2]  D. Chappard,et al.  Microcomputed Tomography for the Study of Hard Tissues and Bone Biomaterials , 2006 .

[3]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[4]  Patricia G. Blauner High resolution x-ray mask repair , 1995 .

[5]  W Freysinger,et al.  High‐resolution X‐ray tomography of the human inner ear: synchrotron radiation‐based study of nerve fibre bundles, membranes and ganglion cells , 2009, Journal of microscopy.

[6]  H. Riesemeier,et al.  Going beyond histology. Synchrotron micro-computed tomography as a methodology for biological tissue characterization: from tissue morphology to individual cells , 2009, Journal of The Royal Society Interface.

[7]  L. Grodzins,et al.  Critical absorption tomography of small samples: Proposed applications of synchrotron radiation to computerized tomography II , 1983 .

[8]  B. Metscher MicroCT for comparative morphology: simple staining methods allow high-contrast 3D imaging of diverse non-mineralized animal tissues , 2009, BMC Physiology.

[9]  Joachim M. Buhmann,et al.  Computational Pathology: Challenges and Promises for Tissue Analysis , 2015, Comput. Medical Imaging Graph..

[10]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[11]  H. Irshad,et al.  Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential , 2014, IEEE Reviews in Biomedical Engineering.

[12]  Bayrammurad Saparov,et al.  Corrigendum: Complex structures of different CaFe2As2 samples , 2015, Scientific Reports.

[13]  Bert Müller,et al.  Three-Dimensional Characterization of Cell Clusters Using Synchrotron-Radiation-Based Micro-Computed Tomography , 2006, Microscopy and Microanalysis.

[14]  D. Chappard,et al.  Relations between Radiograph Texture Analysis and Microcomputed Tomography in Two Rat Models of Bone Metastases , 2006, Cells Tissues Organs.

[15]  P. Schneider,et al.  Imaging of cellular spread on a three-dimensional scaffold by means of a novel cell-labeling technique for high-resolution computed tomography. , 2012, Tissue engineering. Part C, Methods.

[16]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[17]  Felix Beckmann,et al.  High density resolution in synchrotron-radiation-based attenuation-contrast microtomography , 2008, Optical Engineering + Applications.

[18]  Willy Supatto,et al.  Whole-brain functional imaging with two-photon light-sheet microscopy , 2015, Nature Methods.

[19]  P Thibault,et al.  Quantitative X-ray phase-contrast microtomography from a compact laser-driven betatron source , 2014, Nature Communications.

[20]  R. Dyck,et al.  Mice lacking the transcription factor SHOX2 display impaired cerebellar development and deficits in motor coordination. , 2015, Developmental biology.

[21]  A. Schierloh,et al.  Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain , 2007, Nature Methods.

[22]  Anna Letizia Allegra Mascaro,et al.  A versatile clearing agent for multi-modal brain imaging , 2015, Scientific Reports.

[23]  A. Sakellariou,et al.  Imaging honey bee brain anatomy with micro-X-ray-computed tomography , 2008, Journal of Neuroscience Methods.

[24]  Heidi Phillips,et al.  3D micro-CT imaging of the postmortem brain , 2008, Journal of Neuroscience Methods.

[25]  Aaron S. Andalman,et al.  Structural and molecular interrogation of intact biological systems , 2013, Nature.

[26]  Philipp J. Keller,et al.  Light-sheet functional imaging in fictively behaving zebrafish , 2014, Nature Methods.

[27]  T. Bormann,et al.  Three-dimensional registration of tomography data for quantification in biomaterials science , 2012 .

[28]  Bostjan Likar,et al.  A review of 3D/2D registration methods for image-guided interventions , 2012, Medical Image Anal..

[29]  Jeff W. Lichtman,et al.  Clarifying Tissue Clearing , 2015, Cell.

[30]  Franz Pfeiffer,et al.  High-resolution tomographic imaging of a human cerebellum: comparison of absorption and grating-based phase contrast , 2010, Journal of The Royal Society Interface.

[31]  L. Grodzins,et al.  Optimum energies for x-ray transmission tomography of small samples. Applications of synchrotron radiation to computerized tomography I , 1983 .

[32]  P. Cloetens,et al.  X-Ray Phase Nanotomography Resolves the 3D Human Bone Ultrastructure , 2012, PloS one.

[33]  Cornelis H. Slump,et al.  MRI modalitiy transformation in demon registration , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[34]  Christoph Brochhausen,et al.  High resolution X-ray tomography – three-dimensional characterisation of cell–scaffold constructs for cartilage tissue engineering , 2015 .

[35]  Philippe C. Cattin,et al.  Histology to μCT Data Matching Using Landmarks and a Density Biased RANSAC , 2014, MICCAI.

[36]  Oliver Brunke,et al.  High-Resolution X-Ray Computed Tomography for Materials Research , 2011 .

[37]  Jun Zhao,et al.  In-line phase-contrast and grating-based phase-contrast synchrotron imaging study of brain micrometastasis of breast cancer , 2015, Scientific Reports.

[38]  M. Hofmann,et al.  Validation of optical coherence tomography in vivo using cryostat histology. , 2007, Physics in medicine and biology.

[39]  S. Harzsch,et al.  Potential and limitations of X-Ray micro-computed tomography in arthropod neuroanatomy: A methodological and comparative survey , 2015, The Journal of comparative neurology.

[40]  G. Iannello,et al.  Confocal light sheet microscopy: micron-scale neuroanatomy of the entire mouse brain. , 2012, Optics express.

[41]  Sang Joon Lee,et al.  X‐ray imaging of various biological samples using a phase‐contrast hard X‐ray microscope , 2008, Microscopy research and technique.

[42]  J. Swann,et al.  Temperature, Peroxide Concentration, and Immunohistochemical Staining Method Affects Staining Intensity, Distribution, and Background , 2009, Applied immunohistochemistry & molecular morphology : AIMM.

[43]  Franz Pfeiffer,et al.  Multimodal imaging of human cerebellum - merging X-ray phase microtomography, magnetic resonance microscopy and histology , 2012, Scientific Reports.

[44]  Anja K. Stalder,et al.  Combined use of micro computed tomography and histology to evaluate the regenerative capacity of bone grafting materials , 2014 .

[45]  Alard Roebroeck,et al.  General overview on the merits of multimodal neuroimaging data fusion , 2014, NeuroImage.

[46]  Joan Serra,et al.  Image segmentation , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[47]  Alexey Y. Koposov,et al.  The sweet taste quality is linked to a cluster of taste fibers in primates: lactisole diminishes preference and responses to sweet in S fibers (sweet best) chorda tympani fibers of M. fascicularis monkey , 2009, BMC Physiology.

[48]  J. Miyazaki,et al.  Altered psychomotor behaviors in mice lacking pituitary adenylate cyclase-activating polypeptide (PACAP) , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[49]  Gábor Székely,et al.  Non-destructive three-dimensional evaluation of a polymer sponge by micro-tomography using synchrotron radiation. , 2002, Biomolecular engineering.

[50]  Junfeng Zhu,et al.  Serial optical coherence scanner for large-scale brain imaging at microscopic resolution , 2014, NeuroImage.

[51]  Gábor Székely,et al.  A mean three-dimensional atlas of the human thalamus: Generation from multiple histological data , 2010, NeuroImage.

[52]  F. Pfeiffer,et al.  Experimental comparison of grating- and propagation-based hard X-ray phase tomography of soft tissue , 2014 .

[53]  Franz Pfeiffer,et al.  Evaluating the microstructure of human brain tissues using synchrotron radiation-based micro-computed tomography , 2010, Optical Engineering + Applications.

[54]  Daniel Jeanmonod,et al.  Strain fields in histological slices of brain tissue determined by synchrotron radiation-based micro computed tomography , 2008, Journal of Neuroscience Methods.

[55]  Peter Cloetens,et al.  Nanoscale zoom tomography with hard x rays using Kirkpatrick-Baez optics , 2007 .

[56]  Kwanghun Chung,et al.  Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems , 2015, Cell.

[57]  Jennifer L. West,et al.  In vivo small animal micro-CT using nanoparticle contrast agents , 2015, Front. Pharmacol..