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Improvement of classification accuracy due to preprocessing. Classification accuracy of models trained with raw or preprocessed images were assessed on empty droplets (Empty), droplets containing a single cell (Single) and droplets containing multiple cells (Multiple), without (A) or with (B) nanobeads. The scores were calculated with 1,000 images for each condition. Scores were compared using Welch’s t-test (n = 10). *: p < 0.05; **: p < 0.01; ns, not significant.
