Abstract
As a coherent diffractive imaging technique, axial multi-image phase retrieval utilizes a series of diffraction patterns on the basis of axial movement diversity to reconstruct full object wave field. Theoretically, fast convergence and high-accuracy of axial multi-image phase retrieval are demonstrated. In experiment, its retrieval suffers from the tilt illumination, in which diffraction patterns will shift in the lateral direction as the receiver traverses along the axis. In this case, the reconstructed result will be blurry or even mistaken. To solve this problem, we introduce cross-correlation calibration to derive the oblique angle and employ tilt diffraction into axial phase retrieval to recover a target, which is successfully demonstrated in simulation and experiment. Also, our method could provide a useful guidance for measuring how obliquely the incident light illuminates in an optical system.
Highlights
As a coherent diffractive imaging technique, axial multi-image phase retrieval utilizes a series of diffraction patterns on the basis of axial movement diversity to reconstruct full object wave field
We propose cross-correlation calibration to inversely calculate the oblique angle and bring the tilt illumination into the axial multi-image phase retrieval model
We build the tilt diffraction modality for axial multi-image phase retrieval and prove that axial multi-image phase retrieval is sensitive to tilt illumination
Summary
As a coherent diffractive imaging technique, axial multi-image phase retrieval utilizes a series of diffraction patterns on the basis of axial movement diversity to reconstruct full object wave field. Its retrieval suffers from the tilt illumination, in which diffraction patterns will shift in the lateral direction as the receiver traverses along the axis In this case, the reconstructed result will be blurry or even mistaken. As a series of lateral scanning methods, the ptychographic iterative engine algorithm[13, 17, 18] (PIE) utilizes a shifting probe to generate a number of overlapping diffraction patterns and calculates sequentially these measurement images via back and forth propagation. The corresponding experimental demonstration is not given, since the obliquity error of illumination hinders its ability to recover an object Due to this reason, we propose cross-correlation calibration to inversely calculate the oblique angle and bring the tilt illumination into the axial multi-image phase retrieval model. The corresponding simulation and experiment are given to validate the performance of this scheme
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
