Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic...

Area of Science:

• Biomedical optics
• Microscopy
• Quantitative phase imaging

Background:

• Quantitative phase imaging (QPI) is crucial for label-free biological sample analysis.
• Digital holographic microscopy (DHM) is a common QPI technique but can be complex to integrate.
• Coded wavefront sensing (Coded WFS) offers an alternative approach for QPI.

Purpose of the Study:

• To demonstrate Coded WFS for video-rate QPI and 3D refractive index (RI) tomography.
• To compare the accuracy of Coded WFS with DHM under identical conditions.
• To assess the potential of Coded WFS for advanced imaging applications.

Main Methods:

• Experimental setup for direct comparison of Coded WFS and DHM.
• Imaging of a 3D phantom and a rotating HEK293 cell.
• Application of standard tomographic reconstruction algorithms to Coded WFS data.

Main Results:

• Coded WFS demonstrated good agreement with DHM for QPI and RI measurements.
• Coded WFS allows simple integration with standard microscopes, unlike DHM.
• Successful application of tomographic reconstruction to Coded WFS data of a biological sample.

Conclusions:

• Coded WFS is a viable technique for video-rate QPI and 3D RI tomography.
• Coded WFS offers advantages in terms of simplicity and compatibility with existing microscopy systems.
• Coded WFS shows significant potential for future applications in biological imaging and tomography.