Literature DB >> 27321044

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

Anna Khimchenko1, Hans Deyhle1, Georg Schulz1, Gabriel Schweighauser2, Jürgen Hench2, Natalia Chicherova3, Christos Bikis1, Simone E Hieber1, Bert Müller4.   

Abstract

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  2D-3D image registration; Hard X-ray tomography; Histology; Joint histogram analysis; Nano-focus X-ray; Paraffin-embedded human cerebellum; Purkinje cells

Mesh:

Year:  2016        PMID: 27321044     DOI: 10.1016/j.neuroimage.2016.06.005

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

Review 1.  X-ray-Based 3D Virtual Histology-Adding the Next Dimension to Histological Analysis.

Authors:  J Albers; S Pacilé; M A Markus; M Wiart; G Vande Velde; G Tromba; C Dullin
Journal:  Mol Imaging Biol       Date:  2018-10       Impact factor: 3.488

2.  Comparative hard x-ray tomography for virtual histology of zebrafish larva, human tooth cementum, and porcine nerve.

Authors:  Alexandra Migga; Georg Schulz; Griffin Rodgers; Melissa Osterwalder; Christine Tanner; Holger Blank; Iwan Jerjen; Phil Salmon; William Twengström; Mario Scheel; Timm Weitkamp; Christian M Schlepütz; Jan S Bolten; Jörg Huwyler; Gerhard Hotz; Srinivas Madduri; Bert Müller
Journal:  J Med Imaging (Bellingham)       Date:  2022-03-31

3.  Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks.

Authors:  Ramón Casero; Urszula Siedlecka; Elizabeth S Jones; Lena Gruscheski; Matthew Gibb; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Med Image Anal       Date:  2017-03-23       Impact factor: 8.545

4.  Three-dimensional virtual histology of human cerebellum by X-ray phase-contrast tomography.

Authors:  Mareike Töpperwien; Franziska van der Meer; Christine Stadelmann; Tim Salditt
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-18       Impact factor: 11.205

5.  X-ray Micro-Computed Tomography for Nondestructive Three-Dimensional (3D) X-ray Histology.

Authors:  Orestis L Katsamenis; Michael Olding; Jane A Warner; David S Chatelet; Mark G Jones; Giacomo Sgalla; Bennie Smit; Oliver J Larkin; Ian Haig; Luca Richeldi; Ian Sinclair; Peter M Lackie; Philipp Schneider
Journal:  Am J Pathol       Date:  2019-05-22       Impact factor: 4.307

Review 6.  Upscaling X-ray nanoimaging to macroscopic specimens.

Authors:  Ming Du; Zichao Wendy Di; Doǧa Gürsoy; R Patrick Xian; Yevgenia Kozorovitskiy; Chris Jacobsen
Journal:  J Appl Crystallogr       Date:  2021-02-19       Impact factor: 4.868

7.  Optimising complementary soft tissue synchrotron X-ray microtomography for reversibly-stained central nervous system samples.

Authors:  Merrick C Strotton; Andrew J Bodey; Kazimir Wanelik; Michele C Darrow; Esau Medina; Carl Hobbs; Christoph Rau; Elizabeth J Bradbury
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

8.  3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography.

Authors:  Marina Eckermann; Jasper Frohn; Marius Reichardt; Markus Osterhoff; Michael Sprung; Fabian Westermeier; Alexandar Tzankov; Christopher Werlein; Mark Kühnel; Danny Jonigk; Tim Salditt
Journal:  Elife       Date:  2020-08-20       Impact factor: 8.140

9.  Hard X-Ray Nanoholotomography: Large-Scale, Label-Free, 3D Neuroimaging beyond Optical Limit.

Authors:  Anna Khimchenko; Christos Bikis; Alexandra Pacureanu; Simone E Hieber; Peter Thalmann; Hans Deyhle; Gabriel Schweighauser; Jürgen Hench; Stephan Frank; Magdalena Müller-Gerbl; Georg Schulz; Peter Cloetens; Bert Müller
Journal:  Adv Sci (Weinh)       Date:  2018-03-30       Impact factor: 16.806

10.  Phase-contrast x-ray tomography of neuronal tissue at laboratory sources with submicron resolution.

Authors:  Marina Eckermann; Mareike Töpperwien; Anna-Lena Robisch; Franziska van der Meer; Christine Stadelmann; Tim Salditt
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-20
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