Noise-resistant and aberration-free synthetic aperture digital holographic microscopy for chip topography reconstruction

Phase aberration introduced by an optical system and phase noise caused by parasitic fringes are crucial issues that limit the quality of the reconstructed super-resolution phase image and topography measurement accuracy in synthetic aperture digital holographic microscopy. This paper presents a noise-resistant and aberration-free synthetic aperture digital holographic microscopy for high-precision chip topography reconstruction. Both sample information and phase aberration of the optical system can be simultaneously holographically recorded and reconstructed in a single-shot hologram through polarization multiplexing. This configuration can fundamentally eliminate mechanical scanning errors during the image acquisition process in traditional synthetic aperture holographic microscopy and therefore achieve high-precision phase aberration compensation based on the principle of double exposure at arbitrary illumination angle. Furthermore, through the elaborate design of the overall optical configuration and the improved synthetic aperture algorithm, parasitic noise, speckle noise, and the diffraction noise caused by the reference beam in the reconstructed super-resolution phase can be effectively suppressed. Experimental results demonstrate that the proposed synthetic aperture digital holographic microscopy can enable high-precision, aberration-free, high signal-to-noise ratio, super-resolution phase reconstruction for chips featuring complex topography.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-09-05
DOI
https://doi.org/10.1364/oe.574561
Citations
1
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
1.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise-resistant and aberration-free synthetic aperture digital holographic microscopy for chip topography reconstruction

Yibin Xiong, Gaopeng Zhang, Di Li, Zixin Zhao et al.
1 citations
Optics Express
Digital Holography and Microscopy
1.25
article

Noise-resistant and aberration-free synthetic aperture digital holographic microscopy for chip topography reconstruction

Yibin Xiong, Gaopeng Zhang, Di Li, Zixin Zhao, Huan Chen, Chenhao Cao, Fan Chen, Peng He, T. Y. Qi
article en
1 citations

Abstract

Phase aberration introduced by an optical system and phase noise caused by parasitic fringes are crucial issues that limit the quality of the reconstructed super-resolution phase image and topography measurement accuracy in synthetic aperture digital holographic microscopy. This paper presents a noise-resistant and aberration-free synthetic aperture digital holographic microscopy for high-precision chip topography reconstruction. Both sample information and phase aberration of the optical system can be simultaneously holographically recorded and reconstructed in a single-shot hologram through polarization multiplexing. This configuration can fundamentally eliminate mechanical scanning errors during the image acquisition process in traditional synthetic aperture holographic microscopy and therefore achieve high-precision phase aberration compensation based on the principle of double exposure at arbitrary illumination angle. Furthermore, through the elaborate design of the overall optical configuration and the improved synthetic aperture algorithm, parasitic noise, speckle noise, and the diffraction noise caused by the reference beam in the reconstructed super-resolution phase can be effectively suppressed. Experimental results demonstrate that the proposed synthetic aperture digital holographic microscopy can enable high-precision, aberration-free, high signal-to-noise ratio, super-resolution phase reconstruction for chips featuring complex topography.

Optics ExpressVol. 33(19)
Aerospace Technology Institute (GB), Xi'an Institute of Optics and Precision Mechanics (CN)
Openalex Percentile: Top 18%
Digital Holography and Microscopy
1.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.