Work

Application of automatic image analysis using a Deep Learning Neural Network for assessing the growth of green algae containing carotenoids – importance for environment, health and aquaculture

Year: 2025

Type: article

Abstract: sp. Machine learning can be applied not only to the detection of individual cells, but also to the detection of colonies over a wide range of sizes. This article discussed the technical and practical aspects of implementing these advanced methods and highlighted their importance in the aquaculture, food, medical, sustainable energy, and environmental sectors.

Source: Annals of Agricultural and Environmental Medicine

DOI: 10.26444/aaem/202673

Authors: Monika M. Zdeb, Mateusz Walo, Grzegorz Łagód

Institutions: Rzeszów University of Technology, Lublin University of Technology

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $690