Share Email Print
cover

Proceedings Paper

Detecting and discriminating between different types of bacteria with a low-cost smartphone based optical device and neural network models
Author(s): Venkat Balagurusamy; Vince Siu; Ashwin Dhinesh Kumar; Sahil Dureja; Joseph Ligman; Prabhakar Kudva; Matt Tong; Donna Dillenberger
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The food industry such as meat producers and plant product processors have tremendous interest in detecting pathogenic organisms such as E.coli, Listeria, and Salmonella in very low concentrations down to a single cell. These pathogenic organisms when they are in the right environment can start multiplying exponentially. For example, E.coli cells can double every 20 minutes posing a tremendous danger for their growth in over many hours. We have designed an optical device that attaches to a smartphone providing an imaging and processing device that achieves an optical resolution of 1 micron. The optics is engineered to reduce aberrations in the system. We also developed a smartphone application that can track microbeads and bacteria in the video frames in real time using computer vision algorithms. We extract individual bacterial image segments in these videos to train neural network models to detect and differentiate different types of bacteria such as E.coli and B.subtilis. These trained models can detect and discriminate E.coli from B.subtilis with high accuracy of more than 80%. This approach has the potential to train different types of bacteria with a multiclass neural network classifier by training them with images from different genera and species of bacteria. Such a classifier can detect them in a wild sample containing many types of bacteria with low-cost smartphone optical device.

Paper Details

Date Published: 9 September 2019
PDF: 6 pages
Proc. SPIE 11087, Biosensing and Nanomedicine XII, 110870E (9 September 2019); doi: 10.1117/12.2529829
Show Author Affiliations
Venkat Balagurusamy, IBM Thomas J. Watson Research Ctr. (United States)
Vince Siu, IBM Thomas J. Watson Research Ctr. (United States)
Ashwin Dhinesh Kumar, IBM Thomas J. Watson Research Ctr. (United States)
Sahil Dureja, IBM Thomas J. Watson Research Ctr. (United States)
Joseph Ligman, IBM Thomas J. Watson Research Ctr. (United States)
Prabhakar Kudva, IBM Thomas J. Watson Research Ctr. (United States)
Matt Tong, IBM Thomas J. Watson Research Ctr. (United States)
Donna Dillenberger, IBM Thomas J. Watson Research Ctr. (United States)


Published in SPIE Proceedings Vol. 11087:
Biosensing and Nanomedicine XII
Hooman Mohseni; Massoud H. Agahi, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray