Using a Novel Multiplexed Algal Cytological Imaging (MACI) Assay and Machine Learning as a Way to Characterize Complex Phenotypes in Plant-Type Organisms
Eric Ostovich,
Rebecca Klaper
Abstract:High-throughput phenotypic profiling
assays, popular for their
ability to characterize alternations in single-cell morphological
feature data, have been useful in recent years for predicting cellular
targets and mechanisms of action (MoAs) for different chemicals and
novel drugs. However, this approach has not been extensively used
in environmental toxicology due to the lack of studies and established
methods for performing this kind of assay in environmentally relevant
species. Here, we developed a multiplexe… Show more
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