Correlative AFM and Scanning Microlens Microscopy for Time‐Efficient Multiscale Imaging

Abstract: With the rapid evolution of microelectronics and nanofabrication technologies, the feature sizes of large‐scale integrated circuits continue to move toward the nanoscale. There is a strong need to improve the quality and efficiency of integrated circuit inspection, but it remains a great challenge to provide both rapid imaging and circuit node‐level high‐resolution images simultaneously using a conventional microscope. This paper proposes a nondestructive, high‐throughput, multiscale correlation imaging method that combines atomic force microscopy (AFM) with microlens‐based scanning optical microscopy. In this method, a microlens is coupled to the end of the AFM cantilever and the sample‐facing side of the microlens contains a focused ion beam deposited tip which serves as the AFM scanning probe. The introduction of a microlens improves the imaging resolution of the AFM optical system, providing a 3–4× increase in optical imaging magnification while the scanning imaging throughput is improved ≈8×. The proposed method bridges the resolution gap between traditional optical imaging and AFM, achieves cross‐scale rapid imaging with micrometer to nanometer resolution, and improves the efficiency of AFM‐based large‐scale imaging and detection. Simultaneously, nanoscale‐level correlation between the acquired optical image and structure information is enabled by the method, providing a powerful tool for semiconductor device inspection.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Correlative AFM and Scanning Microlens Microscopy for Time‐Efficient Multiscale Imaging ; day:27 ; month:02 ; year:2022 ; extent:11
Advanced science ; (27.02.2022) (gesamt 11)

Urheber
Zhang, Tianyao
Yu, Haibo
Shi, Jialin
Wang, Xiaoduo
Luo, Hao
Lin, Daojing
Liu, Zhu
Su, Chanmin
Wang, Yuechao
Liu, Lianqing

DOI
10.1002/advs.202103902
URN
urn:nbn:de:101:1-2022022814044633044480
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:33 MESZ

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Beteiligte

  • Zhang, Tianyao
  • Yu, Haibo
  • Shi, Jialin
  • Wang, Xiaoduo
  • Luo, Hao
  • Lin, Daojing
  • Liu, Zhu
  • Su, Chanmin
  • Wang, Yuechao
  • Liu, Lianqing

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