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

Histology and immunohistochemistry of thin tissue sections have been the standard diagnostic procedure in many diseases for decades. This method is highly specific for particular tissue regions or cells, but mechanical sectioning of the specimens is required, which destroys the sample in the process...

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Publicado en:Molecular Imaging & Biology Vol. 20; no. 5; pp. 732 - 742
Autores principales: Albers, J., Pacilé, S., Markus, M. A., Wiart, M., Vande Velde, G., Tromba, G., Dullin, C.
Formato: review Journal Article
Publicado: Springer Nature Oct2018
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: X-ray-Based 3D Virtual Histology-Adding the Next Dimension to Histological Analysis.
      aug:
        au:
          Albers, J.
          Pacilé, S.
          Markus, M. A.
          Wiart, M.
          Vande Velde, G.
          Tromba, G.
          Dullin, C.
        affil: Institute for Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
      sug:
        subj:
          Imaging, Three-Dimensional
          User-Computer Interface
          Histology
          X-Rays
          Animals
          Nanoparticles
          Staining and Labeling
      ab: Histology and immunohistochemistry of thin tissue sections have been the standard diagnostic procedure in many diseases for decades. This method is highly specific for particular tissue regions or cells, but mechanical sectioning of the specimens is required, which destroys the sample in the process and can lead to non-uniform tissue deformations. In addition, regions of interest cannot be located beforehand and the analysis is intrinsically two-dimensional. Micro X-ray computed tomography (μCT) on the other hand can provide 3D images at high resolution and allows for quantification of tissue structures, as well as the localization of small regions of interest. These advantages advocate the use of μCT for virtual histology tool with or without subsequent classical histology. This review summarizes the most recent examples of virtual histology and provides currently known possibilities of improving contrast and resolution of μCT. Following a background in μCT imaging, ex vivo staining procedures for contrast enhancement are presented as well as label-free virtual histology approaches and the technologies, which could rapidly advance it, such as phase-contrast CT. Novel approaches such as zoom tomography and nanoparticulate contrast agents will also be considered. The current evidence suggests that virtual histology may present a valuable addition to the workflow of histological analysis, potentially reducing the workload in pathology, refining tissue classification, and supporting the detection of small malignancies.
      pubtype: Academic Journal
      doctype:
        review
        Journal Article
      ougenre: Article
    language: English
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