Sensors (Mar 2022)

Development of a Smartphone-Integrated Reflective Scatterometer for Bacterial Identification

  • Iyll-Joon Doh,
  • Brianna Dowden,
  • Valery Patsekin,
  • Bartek Rajwa,
  • J. Paul Robinson,
  • Euiwon Bae

DOI
https://doi.org/10.3390/s22072646
Journal volume & issue
Vol. 22, no. 7
p. 2646

Abstract

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We present a smartphone-based bacterial colony phenotyping instrument using a reflective elastic light scattering (ELS) pattern and the resolving power of the new instrument. The reflectance-type device can acquire ELS patterns of colonies on highly opaque media as well as optically dense colonies. The novel instrument was built using a smartphone interface and a 532 nm diode laser, and these essential optical components made it a cost-effective and portable device. When a coherent and collimated light source illuminated a bacterial colony, a reflective ELS pattern was created on the screen and captured by the smartphone camera. The collected patterns whose shapes were determined by the colony morphology were then processed and analyzed to extract distinctive features for bacterial identification. For validation purposes, the reflective ELS patterns of five bacteria grown on opaque growth media were measured with the proposed instrument and utilized for the classification. Cross-validation was performed to evaluate the classification, and the result showed an accuracy above 94% for differentiating colonies of E. coli, K. pneumoniae, L. innocua, S. enteritidis, and S. aureus.

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