The method can be used in drug discovery for morphological profiling of novel antiviral compounds on both infected and non-infected cells. Your image analysis data generated in CellProfiler can be directly exported to FCS Express for further analysis. Treatment with effective antiviral compounds reversed the morphological profile of the host cells towards a non-infected state. Open-source code so the underlying methodology is known and can be modified or improved by others. A modular, flexible design allowing analysis of new assays and phenotypes. Moreover, we demonstrate that our method can be used in phenotypic drug screening using a panel of nine host- and virus-targeting antivirals. In summary, CellProfiler contains: Advanced algorithms for image analysis that are able to accurately identify crowded cells and non-mammalian cell types. We show that the methodology can successfully capture virus-induced phenotypic signatures of MRC-5 human lung fibroblasts infected with Human coronavirus 229E (CoV-229E). Key features include basic analysis tools: histograms, statistics, dot plots. 5 Biologists typically use CellProfiler to identify objects of interest (e.g. Submit an inquiry to setup a consultation with our. cells and is involved in ribosome biogenesis and cell cycle regulation. We designed an image analysis pipeline for segmentation and classification of virus-infected and non-infected cells, followed by extraction of morphological properties. CellProfiler can read and analyze most common microscopy image formats. How do I run an image analysis pipeline on public data using CellProfiler. CellProfiler and CellProfiler Analyst as tools for helping others get started with their own analysis within. Here we present a method for untargeted phenotypic drug screening of virus-infected cells, combining Cell Painting with antibody-based detection of viral infection in a single assay. The current COVID-19 pandemic has highlighted the need for new and fast methods to identify novel or repurposed therapeutic drugs.
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