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This study introduces a hybrid approach for low coherence quantitative phase microscopy (LC-QPM), enhancing both spatial and temporal resolution. The novel method uses incoherent light and a Hilbert spiral transform (HST) algorithm for high-speed, high-sensitivity imaging of biological samples.

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Area of Science:

  • Biomedical Imaging
  • Optical Microscopy
  • Quantitative Phase Microscopy

Background:

  • Low coherence quantitative phase microscopy (LC-QPM) faces trade-offs between field of view (FoV) and temporal resolution due to limited temporal coherence (TC) of light sources.
  • Existing LC-QPM systems struggle to achieve high spatial resolution, high phase sensitivity, and high temporal resolution simultaneously.

Purpose of the Study:

  • To develop a hybrid experimental and numerical approach to overcome the limitations of current LC-QPM systems.
  • To achieve high space-time bandwidth product in LC-QPM by enhancing both spatial and temporal resolution.

Main Methods:

  • Employed an incoherent light source for sample illumination in QPM to improve spatial resolution.
  • Utilized a single-shot Hilbert spiral transform (HST) based phase recovery algorithm to enhance temporal resolution without compromising spatial resolution.
  • Integrated HST with LC-QPM for scalable FoV and resolution in single-shot imaging.

Main Results:

  • Demonstrated high spatial resolution and high phase sensitivity in LC-QPM at high temporal resolution.
  • Achieved superior spatial resolution compared to single-shot Fourier transform (FT) methods, overcoming fringe density limitations.
  • Successfully imaged live and fixed biological specimens, including MEF, U2OS, and human red blood cells (RBCs).

Conclusions:

  • The hybrid LC-QPM system with HST reconstruction enables high-speed, single-shot imaging with high phase sensitivity and spatial resolution.
  • The approach allows for extended observation of sub-cellular dynamics and high-speed imaging of cellular processes.
  • This method offers a promising new direction for advanced biomedical imaging applications.