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Scanning Electron Microscopy

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
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A Scanning Electron Microscopy-Compatible Optical Imaging Method for Mesoscopic All-Cell Brain Mapping

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Organ-to-Cell-Scale Health Assessment Using Geographical Information System Approaches with Multibeam Scanning

Melissa L Knothe Tate¹, Dirk Zeidler², André F Pereira¹

¹Graduate School of Biomedical Engineering, University of New South Wales, Samuels 509, UNSW Sydney, NSW, 2052, Australia.

Advanced Healthcare Materials

|May 31, 2016

Summary

Researchers created the first seamless anatomic map of the human hip, detailing its cells. This novel approach using multibeam electron microscopy and GIS enables future cellular network modeling for disease studies.

Keywords:

cell physiology diagnostics geographical information system health assessment organ physiology scanning electron microscopy seamless multiscale imaging

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Area of Science:

Anatomic mapping
Cellular biology
Geographical Information Systems (GIS)

Background:

Detailed anatomic maps are crucial for understanding tissue structure and function.
Current methods lack the resolution to map individual cells within complex organs like the human hip.

Purpose of the Study:

To develop a novel, seamless, and navigable anatomic map of the human hip.
To integrate cellular-level detail into a comprehensive anatomical framework.
To establish a foundation for future cellular network modeling and disease studies.

Main Methods:

Utilized advanced multibeam electron microscopy for high-resolution imaging.
Integrated geographical information system (GIS) approaches for spatial data management.
Employed network modeling based on localized cellular and vascular landmarks.

Main Results:

Generated the first seamless, navigable anatomic map of the human hip, including its cellular components.
Successfully localized key anatomical landmarks such as cells and blood vessels within the map.
Established a framework for analyzing cellular populations and their spatial relationships.

Conclusions:

The developed hip anatomic map provides unprecedented cellular-level detail.
This novel methodology facilitates spatial analysis of cellular inhabitants within tissues.
The map and modeling approach hold significant potential for advancing disease epidemiology studies at the cellular level.