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Lensfree on-chip microscopy based on dual-plane phase retrieval
Optics Express
|December 28, 2019
Summary
This study introduces a new dual-plane phase retrieval algorithm for lensless microscopy. It improves image reconstruction quality for dense samples by reducing noise and preserving resolution.
Area of Science:
- Optics and Photonics
- Biomedical Imaging
- Computational Imaging
Background:
- Lensless on-chip microscopy offers high-resolution, whole-field reconstruction using iterative phase retrieval with defocused images.
- Conventional methods struggle with dense samples, leading to stagnation and noise, which degrade image contrast and resolution.
Purpose of the Study:
- To develop a stable and versatile lensless reconstruction algorithm for dense samples.
- To overcome the limitations of conventional phase retrieval methods in terms of noise sensitivity and resolution loss.
Main Methods:
- A novel dual-plane phase retrieval algorithm was proposed.
- Weighted feedback constraints were used to accelerate convergence.
- Gradient descent minimization with total variation was employed for noise suppression.
Main Results:
- The dual-plane algorithm achieved stable and versatile lensless reconstruction.
- The method demonstrated robustness against Gaussian and Poisson noise through simulations.
- Experiments showed superior performance on resolution targets, pathological slides, and cell imaging compared to existing methods.
Conclusions:
- The proposed dual-plane phase retrieval algorithm significantly enhances lensless microscopy for dense samples.
- The integration of weighted feedback and total variation minimization leads to smoothed, resolution-preserving reconstructions.
- This approach offers a superior alternative for high-quality, label-free imaging in various biological and material science applications.
