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Semi-automatic model to colony forming units counting

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 3 (2023)

DOI
10.11591/ijece.v13i3.pp2761-2768
ISSN
2722-2578, 2088-8708
Published
2023-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Colony forming units counting is a conventional process carry out in bacteriological laboratories, and it is used to follow the behavior of bacteria in different conditions. Currently exist different systems, automatic or semi-automatic, to counting colony forming units exits, but, in general, many laboratories continue using manual counting, which consumes considerable time and effort from researchers and laboratory employees. This paper presents a mathematical model carry out to segment the colony forming units and, in this way, counting them from a digital image of the sample. The method uses the color space information of some points in the image and shows good behavior for images with many or few colony forming units in the sample, according to manual counting. The results show efficiencies close to 98% with MacConkey agar.

Collaboration network of the authors

34 authors · 68 co-authorship links · 35 across different organisations

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  • Universidad Católica de Manizales
  • Universidad Nacional de Colombia
  • Universidad del Cauca
  • Universidad de Caldas
  • Universidad de la Amazonia
  • Nigerian Institute For Oil Palm Reasearch
  • Corporación Universitaria Comfacauca - Unicomfacauca
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Vladimir Henao-CéspedesUniversidad Católica de Manizales5
Nicolás Toro GarcíaUniversidad Nacional de Colombia3
Fredy E. HoyosUniversidad Nacional de Colombia2
Paula Andrea López JimenezUniversidad Católica de Manizales2
LUIS FERNANDO DIAZ CADAVIDUniversidad Nacional de Colombia1
Angie Marcela Galvez ValenciaAffiliation unknown1
Erwin Leandro Lemus RodriguezAffiliation unknown1
Miguel Andres Arango ArgotiAffiliation unknown1
Rubén Darío Lara-EscobarUniversidad Católica de Manizales1
José Israel Cardenas-JimenezUniversidad Nacional de Colombia1
Carlos-Augusto González-CorreaUniversidad de Caldas1
Clara Helena González-CorreaUniversidad de Caldas1
María Nancy Marín OlayaUniversidad Católica de Manizales1
Jose Manuel Monsalve-TellezUniversidad Católica de Manizales1
Jorge Luís Torres-LeónNigerian Institute For Oil Palm Reasearch1
Christian Javier Pinza-JiménezUniversidad Católica de Manizales1
Astrid Lorena Urbano-CanoUniversidad del Cauca1
Diana Jimena López MesaCorporación Universitaria Comfacauca - Unicomfacauca1
Rosa Elvira Álvarez RoseroUniversidad del Cauca1
William Efrén Chirán-AlpalaUniversidad Católica de Manizales1
Lorena Paola Cárdenas EspinosaUniversidad Católica de Manizales1
Diego Alexander Gómez-MoyaAffiliation unknown1
Laura Valeria Avendaño-GarcíaUniversidad Católica de Manizales1
Cristian Gómez-GuzmánUniversidad Católica de Manizales1
Erick Salvador Reyes-GalvánUniversidad Católica de Manizales1
Fredy Alexander Bolivar-GomezAffiliation unknown1
Jeimmy Adriana Muñoz-AlegríaUniversity of La Serena1
Elena Muñoz EspañaUniversidad del Cauca1
Juan Fernando Flórez MarulandaUniversidad del Cauca1
Gloria Matilde Gil DuqueUniversidad Católica de Manizales1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Semi-automatic model to colony forming units counting</dc:title><dc:creator>Pinto-Lopera, Jesus Emilio</dc:creator><dc:creator>Meneses-Cabezas, Diana Carolina</dc:creator><dc:creator>Zapata-Serna, Yuliana</dc:creator><dc:creator>Garces-Gomez, Yeison Alberto</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;Colony forming units counting is a conventional process carry out in bacteriological laboratories, and it is used to follow the behavior of bacteria in different conditions. Currently exist different systems, automatic or semi-automatic, to counting colony forming units exits, but, in general, many laboratories continue using manual counting, which consumes considerable time and effort from researchers and laboratory employees. This paper presents a mathematical model carry out to segment the colony forming units and, in this way, counting them from a digital image of the sample. The method uses the color space information of some points in the image and shows good behavior for images with many or few colony forming units in the sample, according to manual counting. The results show efficiencies close to 98% with MacConkey agar.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i3.pp2761-2768</dc:identifier><dc:identifier>10.11591/ijece.v13i3.pp2761-2768</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 3 (2023); 2761</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/29220/16521</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>