X-ray based virtual histology allows guided sectioning of heavy ion stained murine lungs for histological analysis

Scientific Reports
Jonas AlbersChristian Dullin

Abstract

Examination of histological or immunohistochemically stained 2D sections of embedded tissue is one of the most frequently used tools in biomedical research and clinical routine. Since to date, targeted sectioning of specific regions of interest (ROI) in the sample is not possible, we aimed at developing a guided sectioning approach based on x-ray 3D virtual histology for heavy ion stained murine lung samples. For this purpose, we increased the contrast to noise ratio of a standard benchtop microCT by 5-10-fold using free-propagation phase contrast imaging and thus substantially improved image quality. We then show that microCT 3D datasets deliver more precise anatomical information and quantification of the sample than traditional histological sections, which display deformations of the tissue. To quantify these deformations caused by sectioning we developed the "Displacement Index (DI)", which combines block-matching with the calculation of the local mutual information. We show that the DI substantially decreases when a femtosecond laser microtome is used for sections as opposed to a traditional microtome. In conclusion, our microCT based virtual histology approach can be used as a supplement and a guidance tool for traditiona...Continue Reading

References

Mar 15, 2005·Optics Letters·Xizeng WuAimin Yan
Dec 20, 2008·Journal of Microscopy·V CnuddeP Jacobs
May 13, 2015·Scientific Reports·Martin KrenkelTim Salditt
Jul 9, 2017·Scientific Reports·Regine GradlKaye Susannah Morgan

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Citations

Jul 4, 2018·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·J AlbersC Dullin
Jan 27, 2019·Scientific Reports·P Joy Dunmore-BuyzeMaria Drangova
Nov 5, 2020·Journal of Synchrotron Radiation·Jasper FrohnTim Salditt
Feb 25, 2021·Molecular Imaging and Biology : MIB : the Official Publication of the Academy of Molecular Imaging·Daisuke ShimaoShu Ichihara
Oct 23, 2021·International Journal of Radiation Oncology, Biology, Physics·Mariele RomanoPaola Coan

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Methods Mentioned

BETA
dissection

Software Mentioned

ImageJ
ANKAphase ImageJ
MATLAB
ANKAphase
NRecon
DataViewer MicroCT
Scry

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