Austin L. Daniels

Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations

Christopher P. Calderon, Austin L. Daniels, Theodore W. Randolph · Journal of Pharmaceutical Sciences · 2017 · 74 citations

Convolutional Neural Network, Classify Subvisible Particles, Machine Learning +11

Machine learning and statistical analyses for extracting and characterizing “fingerprints” of antibody aggregation at container interfaces from flow microscopy images

Austin L. Daniels, Christopher P. Calderon, Theodore W. Randolph · Biotechnology and Bioengineering · 2020 · 41 citations · Full text

Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping

Alyssa E. Witeof, Austin L. Daniels, Laura T. Rea et al. · Journal of Pharmaceutical Sciences · 2021 · 26 citations · Full text

Engineering, Machine Learning, Polyclonal Antibody Formulations +7

Microflow Imaging Analyses Reflect Mechanisms of Aggregate Formation: Comparing Protein Particle Data Sets Using the Kullback–Leibler Divergence

Nathaniel R. Maddux, Austin L. Daniels, Theodore W. Randolph · Journal of Pharmaceutical Sciences · 2017 · 22 citations

Aggregate Formation, Engineering, Medical Imaging +11

Flow Microscopy Imaging Is Sensitive to Characteristics of Subvisible Particles in Peginesatide Formulations Associated With Severe Adverse Reactions

Austin L. Daniels, Theodore W. Randolph · Journal of Pharmaceutical Sciences · 2018 · 17 citations · Full text

Nanomedicine, Engineering, Subvisible Particles +9