A Random Forest Approach for Counting Silicone Oil Droplets and Protein Particles in Antibody Formulations Using Flow Microscopy

@article{Saggu2016ARF,
  title={A Random Forest Approach for Counting Silicone Oil Droplets and Protein Particles in Antibody Formulations Using Flow Microscopy},
  author={Miguel Saggu and Ankit R. Patel and Theodoro Koulis},
  journal={Pharmaceutical Research},
  year={2016},
  volume={34},
  pages={479-491}
}
To evaluate a random forest model that counts silicone oil droplets and non-silicone oil particles in protein formulations with large class imbalance. 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 of traditional classification schemes derived from simple filters or regression models. In particular, the… CONTINUE READING

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