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Ptychography for optical metrology with limited translation knowledge
Applied Optics
|July 14, 2016
Summary
This study presents a novel ptychographic algorithm for optical metrology, enabling precise phase retrieval even with poorly known subaperture translations. The method accurately estimates translation direction, distance, and target motion for improved imaging.
Area of Science:
- * Optical Metrology
- * Computational Imaging
- * Wavefront Sensing
Background:
- * Ptychography is a powerful lensless imaging technique that reconstructs a sample's complex transmission by computationally combining a series of diffraction patterns.
- * Traditional ptychographic algorithms often assume precise knowledge of the illumination function and probe movement, limiting their applicability in scenarios with motion uncertainty.
- * Optical metrology applications require robust phase retrieval methods that can handle dynamic environments and uncharacterized probe motion.
Purpose of the Study:
- * To develop a novel ptychographic algorithm capable of performing phase retrieval with unknown transverse translation diversity.
- * To enable accurate optical metrology in situations where subaperture motion is poorly characterized.
- * To simultaneously estimate translation parameters, subaperture rotations, and target motion from measured data.
Main Methods:
- * Introduction of the unknown-transverse translation diversity phase retrieval algorithm.
- * Utilization of point spread function (PSF) data to estimate the direction and magnitude of subaperture translation between consecutive measurements.
- * Simultaneous estimation of unknown point target motion and subaperture rotations from the acquired PSF data.
Main Results:
- * Successful demonstration of phase retrieval in the presence of uncharacterized transverse translations.
- * Accurate estimation of subaperture translation direction and distance traveled.
- * Robust estimation of unknown point target motion and subaperture rotations, enhancing overall system performance.
Conclusions:
- * The developed algorithm significantly advances the capabilities of ptychographic optical metrology by accommodating unknown motion.
- * This method provides a robust solution for phase retrieval in dynamic and uncertain environments.
- * The ability to estimate multiple motion parameters enhances the applicability and accuracy of optical metrology techniques.

