most citedUsing Deep Convolutional Neural Networks to Circumvent Morphological Feature Specification when Classifying Subvisible Protein Aggregates from Micro-Flow Images

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

q-bio.QM2017★ 2 cited

Using Deep Convolutional Neural Networks to Circumvent Morphological Feature Specification when Classifying Subvisible Protein Aggregates from Micro-Flow Images

Christopher P. Calderon, Austin L. Daniels, Theodore W. Randolph

Flow-Imaging Microscopy (FIM) is commonly used in both academia and industry to characterize subvisible particles (those in size) in protein therapeutics. Pharmaceutica…