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This result provides a method for systematic extraction of spatial growth models and paves the way for massively parallel eco-evolutionary experimentation.
Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various biotechnology ...
Oct 13, 2023 · Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various biotechnology ...
Jul 22, 2024 · Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various ...
Oct 10, 2023 · Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various ...
Jul 22, 2024 · Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various ...
We use a dual approach, first applying machine learning regression models to discover that location dominates growth variability at specific times, and, in ...
Oct 10, 2023 · Quantitative understanding of microbial growth is an essential prerequisite for successful control of pathogens as well as various ...
Both temporal and spatial variability of growth within a plate can be captured by explicit growth models. Panels represent, for each plate, the sum of ...
Jul 23, 2024 · Author summary Image-based platforms allow obtaining population size estimates for massively parallel growth experiments on substrate plates ...