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Inverted PAINT for Material-Specific Super-Resolution Fluorescence Imaging of Semiconductors

Authors
Jeong, UidonKim, Doory
Issue Date
Nov-2025
Publisher
WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords
inspection; metrology; PAINT imaging; semiconductors; super-resolution fluorescence microscopy
Citation
Advanced Materials, v.37, no.44, pp 1 - 10
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
Advanced Materials
Volume
37
Number
44
Start Page
1
End Page
10
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209394
DOI
10.1002/adma.202508593
ISSN
0935-9648
1521-4095
Abstract
Recent advances in super-resolution fluorescence microscopy have extended its application beyond traditional biological samples to include various organic materials such as polymers and lipid layers. However, its application to inorganic materials, including semiconductor substrates, still remains limited due to technical challenges associated with their thickness, optical opacity, and the lack of effective fluorophore labeling methods. To overcome these challenges, a label-free Inverted point accumulation for imaging in nanoscale topography (PAINT) imaging method is developed for thick and non-transparent inorganic nanomaterials by addressing the limitations of conventional PAINT imaging. By placing the sample in an inverted orientation and utilizing electrostatic interactions to control dye movement against gravity, silica-specific and silicon-specific nanoimaging of silica–silicon line- and hole-patterned semiconductor wafers, respectively is achieved. Through systematic optimization of polymer coating, dye charge, pH, refractive index, and dye concentration, it is demonstrated that the Inverted PAINT imaging method successfully visualizes sub-100 nm line patterns with a resolution of ≈12 nm, as well as enables multi-color and 3D nanoimaging. The method is anticipated to serve not only as a non-destructive and material-specific nanoimaging technique for a variety of inorganic nanomaterials, but also as a next-generation tool for semiconductor metrology and defect inspection.
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