Literature Review for Counting Colony-Forming Units in Microorganisms Using Artificial Vision

This study conducted a Systematic Literature Review with the aim of identifying the most efficient procedures for processing images used in microbiological analyses. This search includes publications from 2019 to 2025, using the main indexed scientific databases such as Scielo, ACM, Redalyc, Consensus, IEEE Xplore, and Springer, as well as the Google Scholar search engine. During the search, 41 articles were analyzed, identifying various approaches to traditional image processing, machine learning, and hybrid techniques. The results allowed us to identify methods and tools, providing a solid basis for their incorporation into a computer system. The main contribution is to establish the foundations for the development of an automated technological solution that facilitates the implementation of automatic counting to streamline the work of scientific and clinical laboratories by reducing time and human error.

• Hlavní autor: Jiménez Villa, Luis Alberto (author)
• Další autoři: Alejandre Apolinar, María Salomé (author), Lagunes Barradas, Virginia (author), Hidalgo Reyes, Miguel Ángel (author)
• Médium: article
• Jazyk: spa
• Vydáno: 2026
• Témata: tecnología aplicada; inteligencia artificial; procesamiento de imágenes; cultivos bacterianos; automatización; applied technology; artificial intelligence; image processing; bacterial cultures; automation
• On-line přístup: https://revistas.uteq.edu.ec/index.php/ingenio/article/view/1117