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High dynamical range ptychography by applying Fresnel-based unsupervised neural network for arbitrary pixel size
Optics Express
|September 23, 2025
Summary
High dynamical range ptychography overcomes resolution limits using a novel neural network. This technique enhances effective numerical aperture and adjusts pixel size for superior imaging in materials science and bioimaging.
Area of Science:
- Optics and Imaging
- Materials Science
- Biotechnology
Background:
- Ptychography is a lensless phase retrieval method vital for material science, bioimaging, and semiconductor inspection.
- Current ptychography resolution is constrained by reconstructed pixel size and limited effective numerical aperture (NA) due to detector depth.
Purpose of the Study:
- To introduce a novel high dynamical range ptychography method.
- To overcome the resolution limitations of conventional ptychography techniques.
Main Methods:
- Development of a Fresnel-based unsupervised neural network for arbitrary pixel size (FUNNAPS) propagation.
- Implementation of FUNNAPS to enable high effective NA and pixel size adjustment.
Main Results:
- Demonstrated high dynamical range ptychography with FUNNAPS.
- Achieved reconstructions approaching the theoretical resolution limit.
- Successfully adjusted pixel size and enhanced effective NA.
Conclusions:
- The proposed FUNNAPS approach effectively enhances ptychography resolution.
- This method offers a significant advancement for high-resolution imaging applications.
- FUNNAPS provides a pathway to surpass current resolution barriers in ptychography.
