One-shot phase-recovery using a cellphone RGB camera on a Jamin-Lebedeff microscope

Benedict Diederich1,2, Barbora Marsikova1,2, Brad Amos3

  • 1Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.

Plos One
|January 1, 2020
PubMed

Insights

This study revives Jamin-Lebedeff (JL) polarization interference microscopy for real-time optical path difference (OPD) measurements. By integrating 3D-printed components and a cellphone, it enables quantitative phase imaging of transparent tissues and cells.

Area of Science:

  • Biophysics
  • Optical Microscopy
  • Image Processing

Background:

  • Jamin-Lebedeff (JL) polarization interference microscopy is a classical technique for measuring optical path differences (OPD) in transparent samples.
  • Traditional JL microscopy uses a Michel-Levy chart for OPD deduction, limiting real-time analysis.
  • Quantitative phase measurements are crucial in cytology for determining dry mass per area of cells.

Purpose of the Study:

  • To develop a real-time quantitative phase measurement method using Jamin-Lebedeff microscopy.
  • To modernize the JL setup with 3D-printed parts and a cellphone for enhanced functionality.
  • To enable accurate OPD determination in biological samples, including living cells.

Main Methods:

  • Implemented a single-shot phase retrieval algorithm for real-time measurements.
  • Integrated 3D-printed components and a cellphone RGB-camera into the JL microscope setup.
  • Developed a gradient-descent based inverse problem with total-variation regularization for accurate phase mapping and unwrapping.

Main Results:

  • Successfully adapted a classical Jamin-Lebedeff microscope for real-time quantitative phase measurements.
  • Demonstrated the method's efficacy on fixed and living biological samples, as well as reference objects.
  • Achieved accurate optical path difference (OPD) mapping, correlating with dry mass per area in cells.

Conclusions:

  • The modernized JL microscopy enables rapid, quantitative phase imaging of transparent samples.
  • The developed phase retrieval algorithm overcomes limitations of traditional methods, allowing real-time analysis.
  • This approach provides a cost-effective and accessible tool for quantitative phase imaging in various biological applications.