REPAINT – The Artificial Intelligence Algorithm for Comprehensive Phenotyping of Conidial Fungi

14 Mar, 2022 | Posters

In collaboration with the FungiG laboratory, we aim to advance the understanding of conidial fungi by developing a high-throughput phenotyping system using Biolog FF MicroPlates. By analyzing high-resolution images of the microplates with our deep learning image analysis solutions, the project aims to quantify different developmental stages and phenotypes of fungi, providing valuable insights into their genetic and phenotypic diversity. This innovative approach overcomes challenges in studying fungi and enables quantitative analysis of fungal traits for a better understanding of their biology.



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