Smartphone Based Microfluidic Biosensor for Leukocyte Quantification at the Point-of-Care

Muhammad A. Sami, Kurt Wagner, Priya Parikh, Umer Hassan

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

3 Scopus citations

Abstract

The architecture and working of a smartphone-based biosensor for the quantification of leukocytes at point of care is presented in this paper. The biosensor consists of a microscopic smartphone attachment with a resolution of 6.2 μm and a disposable microfluidic biochip for capturing leukocytes. Polymorphonuclear leukocytes (PMNL) were isolated from whole blood before being seeded into PBS solution to mimic the biological samples from patients suffering from various diseases. To capture all the leukocytes, antihuman CD45 antibody was immobilized in the capture chamber of microfluidic biochip for one hour for adsorption. Leukocyte spiked PBS sample was then flowed through the microfluidic biochip at 10 μl/min for capturing leukocytes. 50 μl of a green nuclear stain was then flowed through the biochip for fluorescent imaging. Leukocyte capture was verified by imaging the biochip in the smartphone setup. ImageJ was then used for detection and quantification of leukocytes from the captured images. The obtained results showcase the feasibility of this setup for detection of multiple biomarkers from different body fluids at point of care.

Original languageEnglish (US)
Title of host publication2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-122
Number of pages4
ISBN (Electronic)9781728138121
DOIs
StatePublished - Nov 2019
Event2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019 - Bethesda, United States
Duration: Nov 20 2019Nov 22 2019

Publication series

Name2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019

Conference

Conference2019 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2019
CountryUnited States
CityBethesda
Period11/20/1911/22/19

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Artificial Intelligence
  • Instrumentation
  • Health Informatics
  • Biomedical Engineering
  • Computer Science Applications

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