12 citations · 15 across the 3 of their papers we have counts for
3 papers
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…
Uncertainty Quantification of Discrete Association Problems in Image Sequence-based Tracking
Alexander Mont, Aubrey V. Wiegel, Diego Krapf +1
Applications, ranging from tracking molecular motion within cells to analyzing complex animal foraging behavior, require algorithms for associating a collection of spot-like partic…
Approximating nonequilibrium processes using a collection of surrogate diffusion models
Christopher P. Calderon, Riccardo Chelli
The surrogate process approximation (SPA) is applied to model the nonequilibrium dynamics of a reaction coordinate (RC) associated with the unfolding and refolding processes of a d…