Optically encoded nanoparticles for detecting single biomolecules and viruses: Rapid analysis of two-color colocalization data by high-speed computing

Geoffrey D. Wang, Amit Agrawal, Shummg Nie, May D. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nanometer-sized particles such as luminescent quantum dots (QDs) and energy-transfer nanoparticles have unique optical, electronic, and structural properties (e.g., signal brightness, photostability, and multicolor light emission) that are not available from traditional organic dyes and fluorescent proteins. Here we report the use of color-coded nanoparticles and dual-color fluorescence correlation for real-time detection of single native biomolecules and viruses in a microfluidic channel. Using green and red nanoparticles to simultaneously recognize two binding sites on a single target, we show that individual molecules of genes, proteins, and intact viruses can be detected and identified in complex mixtures without target amplification or probe/target separation. When combined with high-speed computing such as image segmentation and parallel computing, these nanoparticle probes raise new opportunities in molecular diagnostics, bioterrorism agent detection, and intracellular single-molecule imaging.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages1739-1742
Number of pages4
StatePublished - Dec 1 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Keywords

  • And cancer detection
  • High performance computing
  • Image analysis
  • Nanomedicine
  • Nanotechnology
  • Quantum dots

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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