Automatic Evaluation of Colonies Growth rate of Yeasts incubated in Petri dishes using Mobile Platform

Automatic Evaluation of Colonies Growth rate of Yeasts incubated in Petri dishes using Mobile Platform

Authors

  • Alecsander Pereira Martins Universidade Estadual de Londrina
  • José Carlos Pizolato Jr. Universidade Federal de São Carlos
  • Valdinei Luís Belini Universidade de São Paulo

DOI:

https://doi.org/10.5433/1679-0375.2015v36n2p33

Keywords:

Image Processing, Yeast, Computer Vision, Mobile Platform

Abstract

This paper proposes an automatic method based on computer vision implemented in mobile platform capable of monitoring the growth of microbial colonies incubated in Petri dishes. The developed optimized image processing algorithm performs this task without human intervention from images of colonies of the microorganism in different evolution phases. The contribution of this paper is the development of a fast and robust mobile tool to assist bioprocess experts in monitoring the growth of colonies without using the conventional error prone evaluation techniques. The obtained results successfully demonstrated dimensional alterations in colonies in a faster and more precise fashion when compared with the conventional method, with the additional advantage of versatility in producing reliable estimation of the growth rates with higher statistical significance.

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Author Biographies

Alecsander Pereira Martins, Universidade Estadual de Londrina

Estudante de Stricto Sensu-Mestrado em Engenharia Elétrica da Universidade Estadual de Londrina

José Carlos Pizolato Jr., Universidade Federal de São Carlos

 Docente do Departamento de Engenharia Elétrica, Universidade Federal de São Carlos - UFSCar

Valdinei Luís Belini, Universidade de São Paulo

Doutor em Engenharia Mecânica, Universidade de São Paulo – EESC-USP

Published

2015-10-17

How to Cite

Martins, A. P., Pizolato Jr., J. C., & Belini, V. L. (2015). Automatic Evaluation of Colonies Growth rate of Yeasts incubated in Petri dishes using Mobile Platform. Semina: Ciências Exatas E Tecnológicas, 36(2), 33–46. https://doi.org/10.5433/1679-0375.2015v36n2p33

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Original Article
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