Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays

Caitlin M. Race, Lydia Kwon, Brian T. Cunningham

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

Abstract

Photonic crystal enhanced fluorescence (PCEF) enables a nanostructured dielectric surface to amplify the output of a variety of fluorophore-labeled biomolecule assays for applications that include allergy testing, cancer diagnosis, and viral screening. By increasing fluorescent signals, PCEF enables the achievement of reduced limits of detection with portable and low-cost instrumentation. Expanding the utility of PCEF for disease diagnostics requires the automation, uniformity, and reproducibility of all aspects of the measurement and quantification process, including laser scanning of the PC surface and the subsequent data analysis. In this work, we demonstrate a laser scanning detection instrument, optimal selection of the optical 'on-resonance' incident angle, and automated fluorescence spot intensity analysis that enables PCEF to be utilized for quantification of the concentration of a diagnostic serum antibody (anti-E7) to human papilloma virus infection. The assay is conducted with a single droplet of serum introduced within a PC-integrated microfluidic cartridge that is inserted into the detection instrument.

Original languageEnglish (US)
Title of host publicationIEEE Sensors, SENSORS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479982875
DOIs
StatePublished - Jan 5 2017
Event15th IEEE Sensors Conference, SENSORS 2016 - Orlando, United States
Duration: Oct 30 2016Nov 2 2016

Other

Other15th IEEE Sensors Conference, SENSORS 2016
CountryUnited States
CityOrlando
Period10/30/1611/2/16

Fingerprint

Microarrays
Photonic crystals
Fluorescence
Assays
Allergies
Scanning
Fluorophores
Lasers
Biomolecules
Viruses
Microfluidics
Antibodies
Screening
Automation
Testing
Costs

Keywords

  • disease diagnostics
  • image processing
  • microarray screening
  • Photonic crystal

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Race, C. M., Kwon, L., & Cunningham, B. T. (2017). Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays. In IEEE Sensors, SENSORS 2016 - Proceedings [7808961] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2016.7808961

Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays. / Race, Caitlin M.; Kwon, Lydia; Cunningham, Brian T.

IEEE Sensors, SENSORS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7808961.

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

Race, CM, Kwon, L & Cunningham, BT 2017, Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays. in IEEE Sensors, SENSORS 2016 - Proceedings., 7808961, Institute of Electrical and Electronics Engineers Inc., 15th IEEE Sensors Conference, SENSORS 2016, Orlando, United States, 10/30/16. https://doi.org/10.1109/ICSENS.2016.7808961
Race CM, Kwon L, Cunningham BT. Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays. In IEEE Sensors, SENSORS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7808961 https://doi.org/10.1109/ICSENS.2016.7808961
Race, Caitlin M. ; Kwon, Lydia ; Cunningham, Brian T. / Achieving uniformity and reproducibility for photonic crystal fluorescence enhanced disease diagnostic microarrays. IEEE Sensors, SENSORS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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