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Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
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Array tomography: trails to discovery.

Kristina D Micheva1, Jemima J Burden2, Martina Schifferer3,4

  • 1Department of Neurosurgery, Stanford University, Stanford, CA, 94305, USA.

Methods in Microscopy
|August 9, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Array tomography (AT) enables detailed 3D biological structure analysis using serial sectioning and advanced microscopy. Novel developments simplify AT, making this powerful technique more accessible for researchers.

Keywords:
ATUMarray tomographylight microscopyserial sectioningultramicrotomyvolume electron microscopy

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Area of Science:

  • Biological imaging
  • Microscopy techniques
  • Structural biology

Background:

  • Tissue slicing is crucial for studying biological structures.
  • Volume electron microscopy (vEM) methods like array tomography (AT) offer advanced 3D analysis.
  • AT combines serial ultramicrotomy, section imaging, and data re-assembly.

Purpose of the Study:

  • To highlight advancements in array tomography (AT) for biological research.
  • To address the underrepresentation of AT by detailing solutions and overcoming constraints.
  • To guide researchers in selecting appropriate vEM techniques and exploring AT's potential.

Main Methods:

  • Serial ultramicrotomy for ultrathin sectioning.
  • Multi-modal imaging (light and scanning electron microscopy).
  • Image re-assembly and analysis for 3D volume reconstruction.

    • Main Results:

    • AT provides long-term sample preservation and multi-scale imaging compatibility.
    • Serial sectioning enhances axial resolution and facilitates molecular labeling for correlative microscopy.
    • New developments in sectioning and image analysis streamline the AT pipeline.

    Conclusions:

    • Array tomography offers significant advantages for multi-scale and multi-modal biological imaging.
    • Overcoming perceived difficulties through new developments and training can increase AT adoption.
    • AT has vast unexplored potential across diverse biological fields, aiding structural and molecular insights.