Development of Highly Dense Material-Specific Fluorophore Labeling Method on Silicon-Based Semiconductor Materials for Three-Dimensional Multicolor Super-Resolution Fluorescence Imaging

被引:11
作者
Jeong, Uidon [1 ]
Jeong, Dokyung [1 ]
Go, Seokran [1 ]
Park, Hyunbum [1 ]
Kim, Geun-ho [1 ]
Kim, Namyoon [2 ]
Jung, Jaehwang [2 ]
Kim, Wookrae [2 ]
Lee, Myungjun [2 ]
Choi, Changhoon [2 ]
Kim, Doory [1 ,3 ,4 ,5 ]
机构
[1] Hanyang Univ, Dept Chem, Seoul 04763, South Korea
[2] Samsung Elect Co Ltd, Equipment R&D Team 4, Mechatron Res, Hwaseong 18848, South Korea
[3] Hanyang Univ, Res Inst Convergence Basic Sci, Seoul 04763, South Korea
[4] Hanyang Univ, Inst Nano Sci & Technol, Seoul 04763, South Korea
[5] Hanyang Univ, Res Inst Nat Sci, Seoul 04763, South Korea
基金
新加坡国家研究基金会;
关键词
SELECTIVE FUNCTIONALIZATION; MICROSCOPY; LIMIT;
D O I
10.1021/acs.chemmater.3c01073
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The recent development of super-resolution fluorescencemicroscopy(SRM) has drastically improved the resolution of light microscopyto the order of tens of nanometers. However, the application of SRMto semiconductor materials remains challenging because fluorophorelabeling on inorganic materials with a high labeling density requiredfor nanoimaging has been limited with conventional surface functionalizationmethods. Here, a novel approach for highly dense material-specificfluorophore labeling methods on silicon-based materials has been developedand demonstrated for SRM imaging of semiconductor line patterns. Thisapproach is shown to selectively and sensitively probe different-sizedsilicon and silica line patterned arrays including edge structureson a wafer in three dimension, which has not been resolved by a conventionalmetrology system. Furthermore, we successfully demonstrate that thisnew method can detect nanoparticle defects with high sensitivity,suggesting its capability as an inspection tool for semiconductordefects. This new nanomaterial imaging approach is expected to drivefurther innovations in metrology tools and applications.
引用
收藏
页码:5572 / 5581
页数:10
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