A smartphone-based bacterial colony phenotyping instrument based on the reflective elastic light-scatter pattern

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

doi:10.1117/12.2623007

1 June 2022 A smartphone-based bacterial colony phenotyping instrument based on the reflective elastic light-scatter pattern

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

Author Affiliations +

Proceedings Volume 12120, Sensing for Agriculture and Food Quality and Safety XIV; 121200A (2022) https://doi.org/10.1117/12.2623007
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

A portable bacterial colony classification tool based on colonies’ reflective elastic light-scatter (ELS) patterns has been developed using a smartphone, a green laser, and a projection screen material. As the collimated beam from the laser illuminates the bacterial colony, backscattered photons interfere and generate a unique pattern on the screen material determined by the unique morphology of the colony. The phone camera, which is located behind the screen, captures the pattern. The collected patterns are utilized to extract the distinctive scatter-related features across different organisms for the classification process. Unlike other tools that use transmitted ELS patterns, the novel device measures the reflective signal, and therefore this ELS technique can be applied to organisms that are grown on opaque media such as blood agar, chocolate agar, which normally prohibits the transmission of the light and generation of forward ELS patterns. The adaptation of the smartphone camera as an imaging device dramatically reduced the system to a palm-size instrument. This made it wholly portable and easy to carry. For validation of the instrument, two different bacteria species, E. coli and L. innocua were grown on opaque agar media and tested. The results showed over 90% of overall accuracy in differentiating the organisms.

Conference Presentation

Citation Download Citation

Iyll-Joon Doh, Brianna Dowden, Valery Patsekin, Bartek Rajwa, J. Paul Robinson, and Euiwon Bae "A smartphone-based bacterial colony phenotyping instrument based on the reflective elastic light-scatter pattern", Proc. SPIE 12120, Sensing for Agriculture and Food Quality and Safety XIV, 121200A (1 June 2022); https://doi.org/10.1117/12.2623007

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