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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Complex optically computed phase microscopy for label-free sub-cellular imaging.

Xuan Liu1, Yuwei Liu1, Shupei Yu2

  • 1Department of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ, 07102, USA.

Optics Continuum
|January 15, 2024
PubMed
Summary
This summary is machine-generated.

Complex optically computed phase microscopy (complex-OCPM) offers depth-resolved phase imaging. This advanced technique achieves sub-cellular resolution for label-free live cell analysis.

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Area of Science:

  • Biophotonics
  • Optical Imaging
  • Microscopy

Background:

  • Quantitative phase imaging provides label-free contrast for biological samples.
  • Existing methods may face limitations in spatial resolution or depth penetration.

Purpose of the Study:

  • To investigate the performance of complex optically computed phase microscopy (complex-OCPM).
  • To demonstrate depth-resolved quantitative phase measurement with high spatial resolution.

Main Methods:

  • Utilized a low coherence interferometer combined with an innovative optical computation approach.
  • Directly measured the complex amplitude of the optical field from the sample.
  • Extracted phase information as the argument of the complex signal.

Main Results:

  • Achieved depth-resolved quantitative phase measurement.
  • Demonstrated high spatial resolution in phase imaging.
  • Validated performance using resolution targets and live cells, showing sub-cellular resolution.

Conclusions:

  • Complex-OCPM enables high-resolution, label-free imaging of biological samples.
  • The technology provides quantitative phase information with depth resolution.
  • Sub-cellular resolution was achieved on live cells without exogenous labels.