Tools for classification of growing/non-growing bacterial colonies using laser speckle imaging.

Balmages, Ilya; Liepins, Janis; Zolins, Stivens; Bliznuks, Dmitrijs; Broks, Renars; Lihacova, Ilze; Lihachev, Alexey

Balmages, Ilya; Liepins, Janis; Zolins, Stivens; Bliznuks, Dmitrijs; Broks, Renars; Lihacova, Ilze; Lihachev, Alexey.

Afiliação

Balmages I; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
Liepins J; Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
Zolins S; Institute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia.
Bliznuks D; Laboratorija Auctoritas Ltd., Riga, Latvia.
Broks R; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
Lihacova I; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
Lihachev A; Department of Biology and Microbiology, Riga Stradins University, Riga, Latvia.

Front Microbiol ; 14: 1279667, 2023.

Article em En | MEDLINE | ID: mdl-37928664

Palavras-chave

artificial neural network; image processing; laser speckle imaging; microorganism activity estimation; sensitive subpixel correlation method

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article