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Related Concept Videos

Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

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The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
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Related Experiment Video

Updated: Dec 8, 2025

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
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High-resolution optical microscopy for characterising microstructural deformation in microtensile testing.

J Wanni1, J G Michopoulos2, A Bagchi2

  • 1Department of Mechanical and Aeronautical Engineering, Clarkson University, Potsdam, New York, U.S.A.

Journal of Microscopy
|September 21, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an image processing technique to improve optical microscopy for observing material deformation. The method enhances focus and accuracy in imaging microstructural changes during tensile testing.

Keywords:
Image blendingimage stabilisationmicrostructural deformationmicrotensile testingoptical microscopy

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Area of Science:

  • Materials Science
  • Optical Engineering
  • Microscopy

Background:

  • Optical microscopes have a narrow depth of field (DoF), limiting imaging of complex 3D surface deformations during microtensile testing.
  • Heterogeneous materials exhibit evolving 3D surface textures under load, further challenging microscopy by reducing the in-focus region within the field of view (FoV).

Purpose of the Study:

  • To develop and validate an image processing method to overcome the DoF limitation in optical microscopy for surface deformation analysis.
  • To enhance the characterization of heterogeneous material deformation during tensile testing.

Main Methods:

  • A novel method combining image blending and image stabilization is proposed.
  • Image blending merges in-focus regions from multiple frames captured at varying working distances to create a large-focus image.
  • Image stabilization corrects spatial misalignments in blended images using a common reference feature.

Main Results:

  • The proposed method significantly improves image quality, maintaining nearly 100% FoV in focus despite substantial out-of-plane deformation.
  • Validated on stainless steel 316L specimens, the technique enhanced the accuracy of digital image correlation (DIC).
  • Time-lapse videos revealed slip band evolution and transmission through twinning boundaries in the microstructure.

Conclusions:

  • The developed image-processing technique effectively advances optical microscopy capabilities for imaging dynamic, complex 3D surface changes.
  • This method offers a feasible approach for detailed analysis of material deformation at the microscale.