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This article discusses the use of automated transmitted light microscopy and AI-based image classification for high-throughput virus infection readout. A workflow was established using a serial dilution infection protocol and ground truth data obtained from transmission light microscopy and crystal violet staining. The results were compared to human expert annotations and a CNN was trained for infection state classification. The dataset included images from various viruses and cell lines.