Large field-of-view plasmonic scattering imaging and sensing of nanoparticles with isotropic point-spread-function

Label-free optical imaging and sensing of single nanoparticles are vital for fundamental research, disease diagnosis, and nanomaterial studies. Surface plasmon resonance microscopy (SPRM) is a label-free detection technology which is widely used in the detection of single nanoparticles. However, conventional SPRM suffers from poor spatial resolution, a limited field-of-view, system complexity, and high operating costs. In this study, we introduce a compact, low-cost, and large field-of-view chip-based plasmonic scattering microscopy (Chip-PSM). Compared with SPRM, Chip-PSM retains high detection sensitivity and in situ label-free analysis capability, while offering a larger field-of-view, an isotropic point-spread-function and higher spatial resolution. With these advantages, Chip-PSM enables detecting and imaging dielectric nanoparticles, gold nanoparticles, and biological samples. Additionally, the hygroscopic growth dynamics of aerosol nanoparticles and the chemical reactions occurring on nanocrystals are successfully characterized via Chip-PSM. We anticipate that the proposed Chip-PSM will have broad applications across many scientific fields, including physics, chemistry, and atmospheric sciences.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-06-02
DOI
https://doi.org/10.1038/s41467-025-60460-7
Citations
4
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large field-of-view plasmonic scattering imaging and sensing of nanoparticles with isotropic point-spread-function

Gang Zou, Zetao Fan, Huaqiao Gui, Xinxiang You et al.
4 citations
Nature Communications
Gold and Silver Nanoparticles Synthesis and Applications
1.71
article

Large field-of-view plasmonic scattering imaging and sensing of nanoparticles with isotropic point-spread-function

Gang Zou, Zetao Fan, Huaqiao Gui, Xinxiang You, Douguo Zhang, Hongli Zhang, Qiwen Zhan, Zhibo Xie, Chengen Li, Xü Liu, Jianguo Liu
article en
4 citations

Abstract

Label-free optical imaging and sensing of single nanoparticles are vital for fundamental research, disease diagnosis, and nanomaterial studies. Surface plasmon resonance microscopy (SPRM) is a label-free detection technology which is widely used in the detection of single nanoparticles. However, conventional SPRM suffers from poor spatial resolution, a limited field-of-view, system complexity, and high operating costs. In this study, we introduce a compact, low-cost, and large field-of-view chip-based plasmonic scattering microscopy (Chip-PSM). Compared with SPRM, Chip-PSM retains high detection sensitivity and in situ label-free analysis capability, while offering a larger field-of-view, an isotropic point-spread-function and higher spatial resolution. With these advantages, Chip-PSM enables detecting and imaging dielectric nanoparticles, gold nanoparticles, and biological samples. Additionally, the hygroscopic growth dynamics of aerosol nanoparticles and the chemical reactions occurring on nanocrystals are successfully characterized via Chip-PSM. We anticipate that the proposed Chip-PSM will have broad applications across many scientific fields, including physics, chemistry, and atmospheric sciences.

Nature CommunicationsVol. 16(1)
University of Science and Technology of China (CN), University of Shanghai for Science and Technology (CN), Hefei University of Technology (CN), Chinese Academy of Sciences (CN), Anhui Institute of Optics and Fine Mechanics (CN), Zhejiang University (CN)
National Natural Science Foundation of China, University of Science and Technology of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
Openalex Percentile: Top 16%
Gold and Silver Nanoparticles Synthesis and Applications
1.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.