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Overview of Microscopy Techniques01:22

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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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Aperture scanning Fourier ptychographic microscopy.

Xiaoze Ou1, Jaebum Chung1, Roarke Horstmeyer1

  • 1Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.

Biomedical Optics Express
|August 30, 2016
PubMed
Summary

Fourier ptychographic microscopy (FPM) captures complex scattered fields for 3D samples. Combining FPM with compressive sensing reconstructs 3D scattering density, enhancing applications like tissue imaging.

Keywords:
(090.1995) Digital holography(110.6880) Three-dimensional image acquisition(180.0180) Microscopy

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Area of Science:

  • Optics and Photonics
  • Microscopy Techniques
  • Computational Imaging

Background:

  • Fourier ptychographic microscopy (FPM) typically captures 2D complex fields.
  • Existing methods have limitations in 3D sample analysis.
  • Advanced imaging is crucial for fields like biomedical and materials science.

Purpose of the Study:

  • To extend Fourier ptychographic microscopy (FPM) for 3D sample analysis.
  • To develop a method for reconstructing 3D scattering density from FPM data.
  • To enhance the applicability of FPM in diverse scientific domains.

Main Methods:

  • Implementation of FPM using an LCOS spatial light modulator for aperture scanning.
  • Acquisition of complex scattered fields in both transmissive and reflective modes.
  • Integration of compressive sensing theory with reconstructed 2D FPM data.

Main Results:

  • Successful capture of complex scattered fields for 3D samples.
  • Reconstruction of 3D sample scattering density from 2D FPM data.
  • Demonstration of FPM's expanded capabilities beyond 2D imaging.

Conclusions:

  • The developed FPM approach enables 3D scattering density recovery.
  • This technique broadens FPM applications, including tissue imaging and wafer inspection.
  • The integration of FPM and compressive sensing offers a powerful tool for 3D sample characterization.