Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm.

Area of Science:

• Optical imaging
• Biomedical optics
• Computational imaging

Background:

• Quantitative phase imaging (QPI) is crucial for label-free biological sample analysis.
• Interferometric QPI methods are often bulky and require coherent light.
• Interferenceless QPI methods, using phase retrieval, are more resource-efficient and compatible with incoherent illumination.

Purpose of the Study:

• To present a tutorial on a basic lensless quantitative phase imaging technique.
• To demonstrate the application of phase retrieval algorithms in QPI.
• To provide computational tools for simulating and reconstructing phase objects.

Main Methods:

• Utilized a lensless QPI configuration based on phase retrieval algorithms.
• Performed simulative studies on thin, thick, and greyscale phase objects.
• Fabricated binary phase samples and constructed single and two-plane phase objects.
• Applied phase retrieval for 2D and 3D phase reconstructions from recorded intensity patterns.

Main Results:

• Successfully reconstructed 2D and 3D phase information from simulated and experimental data.
• Demonstrated the effectiveness of the lensless QPI approach for various phase objects.
• Provided commented Octave codes for image acquisition and automation using a webcam.

Conclusions:

• Lensless QPI with phase retrieval offers a cost-effective and compact solution for biological sample imaging.
• The provided computational tools facilitate the implementation and study of QPI techniques.
• This approach enables advanced label-free imaging and analysis of transparent specimens.