An Analysis of the Practicalities of Multi-Color Nanoparticle Cellular Bar-Coding

Paul Rees, M. Rowan Brown, John W. Wills, Huw Summers

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Many applications in biomedical research require the long-term identification and tracking of cells over time. In previous work we have demonstrated that by sequentially dosing a cell population with different emission wavelength nanoparticles it is possible to use the random number of nanoparticle loaded vesicles generated by the cells as a barcode for individual cells within the population. In this paper we develop a simple model to describe the number of codes that can be generated using this sequential loading protocol. The methodology is validated by comparison with experiment and subsequently used to predict the effect of varying the number of colors used to encode the cells and also to assess the effect of misreading the cellular code due to errors in imaging the vesicles.

Original languageEnglish (US)
Pages (from-to)362-369
Number of pages8
JournalCombinatorial Chemistry and High Throughput Screening
Issue number5
StatePublished - Jun 1 2016


  • Barcoding.
  • Microscopy
  • Nanoparticles
  • Time-lapse

ASJC Scopus subject areas

  • Drug Discovery
  • Computer Science Applications
  • Organic Chemistry


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