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Related Experiment Video

Updated: Jun 3, 2025

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

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Published on: August 16, 2012

Lens-Free On-Chip Quantitative Phase Microscopy for Large Phase Objects Based on a Biplane Phase Retrieval Method.

Yufan Chen^1,2,3, Xuejuan Wu^1,2,3, Yang Chen^1,2,3

¹Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Sensors (Basel, Switzerland)

|January 11, 2025

Summary

This summary is machine-generated.

This study introduces biplane phase retrieval (BPR), a new method for accurate absolute phase reconstruction in lens-free microscopy. BPR overcomes phase unwrapping errors, enhancing quantitative phase imaging for cell biology research.

Keywords:

biplane phase retrieval high-throughput imaging iterative phase retrieval lens-free on-chip microscopy quantitative phase imaging

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Area of Science:

Computational imaging
Biophotonics
Cell biology

Background:

Lens-free on-chip microscopy (LFOCM) offers high-throughput, cost-effective imaging.
Iterative phase retrieval in LFOCM yields wrapped phase data (-π to π).
Phase unwrapping is critical for absolute phase but prone to errors with large gradients or low sampling.

Purpose of the Study:

To develop a novel method for accurate absolute phase reconstruction in LFOCM.
To overcome limitations of conventional phase unwrapping techniques.
To improve quantitative phase imaging (QPI) accuracy and robustness.

Main Methods:

Proposed a novel biplane phase retrieval (BPR) method.
Integrated phase unwrapping results from different propagation distances.
Validated the method using live-cell imaging of HeLa and COS-7 cells.

Main Results:

BPR achieved accurate absolute phase reconstruction.
Demonstrated improved QPI accuracy compared to off-axis digital holographic microscopy.
Showcased robustness and capability for long-term quantitative analysis in time-lapse imaging.

Conclusions:

BPR effectively addresses phase unwrapping challenges in LFOCM.
The method enhances the reliability of quantitative phase imaging for biological samples.
BPR is suitable for long-term, high-throughput cell population studies.