On-chip cytometry using plasmonic nanoparticle enhanced lensfree holography

  • Qingshan Wei
  • , Euan McLeod
  • , Hangfei Qi
  • , Zhe Wan
  • , Ren Sun
  • , Aydogan Ozcan

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

Computational microscopy tools, in particular lensfree on-chip imaging, provide a large field-of-view along with a long depth-of-field, which makes it feasible to rapidly analyze large volumes of specimen using a compact and light-weight on-chip imaging architecture. To bring molecular specificity to this high-throughput platform, here we demonstrate the use of plasmon-resonant metallic nanoparticles to automatically recognize different cell types based on their plasmon-enhanced lensfree holograms, detected and reconstructed over a large field-of-view of e.g., ∼24 mm2.

Original languageEnglish (US)
Article number1699
JournalScientific reports
Volume3
DOIs
StatePublished - 2013
Externally publishedYes

ASJC Scopus subject areas

  • General

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