Experimental Demonstration of Conjugate Structured Illumination Microscopy (c-SIM) for Sensing Deep Subwavelength Perturbations in Background Nanopatterns

The localization and classification of deep-subwavelength objects embedded in dense background nanopatterns in an imaging mode are challenging because of the optical diffraction limit and the weak signal-to-noise ratio and contrast. In this work, we, for the first time, experimentally validated the proposed conjugate structured illumination microscopy (c-SIM), which utilizes optical proximity correction techniques to generate a wide-field, diffraction-limited, and structured illumination field on the sample surface for defect inspection. Our experiments validated that c-SIM could accurately inspect 29 nm wide defects with an enhanced resolution (half of the diffraction barrier) using a 423 nm laser source. Moreover, our investigation demonstrated that different types of 38 nm wide defects could be precisely pinpointed and directly classified from the captured frames in the lateral scanning process, which is attributed to the fact that a conjugate structured light field could induce a high-intensity gradient in the illumination light. This technology may find diverse applications, such as a patterned wafer defect inspection, photomask inspection, material characterization, metamaterial inspection, and nanosensing.

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Publication Details

Journal
ACS Photonics
Published
2025-04-24
DOI
https://doi.org/10.1021/acsphotonics.5c00227
Citations
2
Primary Topic
Near-Field Optical Microscopy
Type
article
Field-Weighted Citation Impact
1.35

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article

Experimental Demonstration of Conjugate Structured Illumination Microscopy (c-SIM) for Sensing Deep Subwavelength Perturbations in Background Nanopatterns

Jinsong Zhang, Renjie Zhou, Jinlong Zhu, Nicholas X. Fang et al.
2 citations
ACS Photonics
Near-Field Optical Microscopy
1.35
article

Experimental Demonstration of Conjugate Structured Illumination Microscopy (c-SIM) for Sensing Deep Subwavelength Perturbations in Background Nanopatterns

Jinsong Zhang, Renjie Zhou, Jinlong Zhu, Nicholas X. Fang, Weijie Deng, Shiyuan Liu
article en
2 citations

Abstract

The localization and classification of deep-subwavelength objects embedded in dense background nanopatterns in an imaging mode are challenging because of the optical diffraction limit and the weak signal-to-noise ratio and contrast. In this work, we, for the first time, experimentally validated the proposed conjugate structured illumination microscopy (c-SIM), which utilizes optical proximity correction techniques to generate a wide-field, diffraction-limited, and structured illumination field on the sample surface for defect inspection. Our experiments validated that c-SIM could accurately inspect 29 nm wide defects with an enhanced resolution (half of the diffraction barrier) using a 423 nm laser source. Moreover, our investigation demonstrated that different types of 38 nm wide defects could be precisely pinpointed and directly classified from the captured frames in the lateral scanning process, which is attributed to the fact that a conjugate structured light field could induce a high-intensity gradient in the illumination light. This technology may find diverse applications, such as a patterned wafer defect inspection, photomask inspection, material characterization, metamaterial inspection, and nanosensing.

ACS PhotonicsVol. 12(5)
Chinese University of Hong Kong (HK), Chinese Academy of Sciences (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), Huazhong University of Science and Technology (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, Shenzhen Fundamental Research Program, National Key Research and Development Program of China
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Openalex Percentile: Top 21%
Near-Field Optical Microscopy
1.35
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