Optical Resolution of the Morphological Change of Single Nanoparticles at Native Conditions: A Nonsuper-Resolution Approach
文献类型： 外文期刊
作者： Zheng, Yuhao 1 ; Xu, Guohailin 2 ; Chen, Jingwen 3 ; Wang, Xinyi 1 ; Xu, Dou 1 ; Li, Yapeng 1 ; Chen, Mengwei 1 ; Jiang, Wenbo 1 ; Kong, Jie 2 ; Chen, Shan 3 ; Fang, Yimin 1 ;
作者机构： 1.Nanjing Med Univ, Minist Educ, Med Basic Res Innovat Ctr Cardiovasc & Cerebrovasc, Sch Pharm,Key Lab Drug Targets & Translat Med Card, Nanjing 211166, Jiangsu, Peoples R China
2.Jiangsu Univ, Inst Agr Engn, Zhenjiang 212001, Peoples R China
3.Minist Agr & Rural Affairs, Inst Agr Facil & Equipment, Jiangsu Acad Agr Sci, Key Lab Protected Agr Engn Middle & Lower Reaches, Nanjing 210014, Jiangsu, Peoples R China
关键词： dark-field scattering microscopy; angular scanning; morphological identification; nanoparticles; high-throughput
期刊名称：ACS SENSORS （ 影响因子：9.1； 五年影响因子：8.9 ）
ISSN： 2379-3694
年卷期： 2025 年 10 卷 7 期
页码：
收录情况： SCI
摘要： Label-free optical imaging of the morphology of single nanoparticles under native conditions remains a challenging task despite its importance in the synthesis, properties, and applications of nanomaterials. Here, we developed an angular scanning dark-field scattering microscopy (ASDFSM) that can identify the particle morphologies by the features of their angle-dependent scattering intensities without increasing spatial resolution. ASDFSM can unambiguously resolve the morphology of single nanoparticles with sizes down to 1/5 wavelength of the incident light in a large field of view, facilitating the simultaneous imaging of a large number of nanoparticles with statistical significance. Coupling with a random forest machine learning algorithm, their morphologies can be well-identified with an average accuracy of 96%, facilitating in situ monitoring of the corrosion and growth kinetics of single nanoparticles in a high-temperature solution. The ASDFSM possesses the advantages of high-throughput, noninvasiveness, dynamic traceability, and simplicity over the present methods, promising its wide applications in nanoscience.
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