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Purpose To evaluate a random forest model that counts silicone oil droplets and non-silicone oil particles in protein formulations with large class imbalance. Methods In this work, we present a novel approach for automated image analysis of flow microscopy data based on random forest classification enabling rapid analysis of large data sets. The random forest approach overcomes many of the limitations...
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