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Combined Multidimensional Microscopy as a Histopathology Imaging Tool.

Gerald J Shami1, Delfine Cheng2, Filip Braet2,3,4

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Journal of Cellular Physiology
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Summary

This study introduces a versatile bioimaging workflow for detailed visualization of biological structures from tissue to nanoscale. The method enables multi-modal imaging, revealing comprehensive information about hepatic vasculature and sinusoidal cells.

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Area of Science:

  • Cell Biology
  • Microscopy
  • Bioimaging

Background:

  • Multidimensional imaging is crucial for understanding complex biological structures.
  • Current imaging techniques often have limitations in scale or resolution.
  • Integrated workflows can overcome individual modality limitations.

Purpose of the Study:

  • To present a versatile bioimaging workflow for multidimensional imaging.
  • To enable sample preparation for multiple imaging techniques simultaneously.
  • To characterize hepatic vasculature and sinusoidal cells across different length scales.

Main Methods:

  • Developed a workflow for sample preparation compatible with X-ray micro-computed tomography, bright-field light microscopy, and backscattered scanning electron microscopy.
  • Applied the workflow to study hepatic vasculature, from large vessels to sinusoidal capillaries.
  • Utilized high-resolution backscattered scanning electron microscopy for subcellular characterization of hepatic sinusoidal cells.

Main Results:

  • Successfully integrated multiple imaging modalities (X-ray micro-CT, light microscopy, SEM) into a single workflow.
  • Provided detailed structural information of hepatic vasculature across a wide range of scales.
  • Characterized subcellular features of liver sinusoidal endothelial cells, pit cells, and Kupffer cells.

Conclusions:

  • The presented bioimaging workflow is highly versatile and adaptable for various investigations.
  • Combining multiple imaging modalities offers unprecedented structural information.
  • This approach enhances the understanding of biological structures at multiple scales.