Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10400.14/39741
Título: | Distinction of different colony types by a smart-data-driven tool |
Autor: | Rodrigues, Pedro Miguel Ribeiro, Pedro Tavaria, Freni Kekhasharú |
Palavras-chave: | Petri-plates Colonies Machine-learning models Discrimination |
Data: | 2023 |
Resumo: | Background: Colony morphology (size, color, edge, elevation, and texture), as observed on culture media, can be used to visually discriminate different microorganisms. Methods: This work introduces a hybrid method that combines standard pre-trained CNN keras models and classical machine-learning models for supporting colonies discrimination, developed in Petri-plates. In order to test and validate the system, images of three bacterial species (Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus) cultured in Petri plates were used. Results: The system demonstrated the following Accuracy discrimination rates between pairs of study groups: 92% for Pseudomonas aeruginosa vs. Staphylococcus aureus, 91% for Escherichia coli vs. Staphylococcus aureus and 84% Escherichia coli vs. Pseudomonas aeruginosa. Conclusions: These results show that combining deep-learning models with classical machine-learning models can help to discriminate bacteria colonies with good accuracy ratios. |
Peer review: | yes |
URI: | http://hdl.handle.net/10400.14/39741 |
DOI: | 10.3390/bioengineering10010026 |
ISSN: | 2306-5354 |
Aparece nas colecções: | CBQF - Artigos / Articles |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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bioengineering_10_00026.pdf | 370 kB | Adobe PDF | Ver/Abrir |
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