30 citations · 136 across the 10 of their papers we have counts for
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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…
Motion Blur Filtering: A Statistical Approach for Extracting Confinement Forces and Diffusivity from a Single Blurred Trajectory
Christopher P. Calderon
Single Particle Tracking (SPT) can aid in understanding complex spatio-temporal processes. However, quantifying diffusivity and forces from individual live cell trajectories is com…
Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments
Christopher P. Calderon, Kerry S. Bloom
Optical microscopy provides rich spatio-temporal information characterizing in vivo molecular motion. However, effective forces and other parameters used to summarize molecular mot…
Robust Hypothesis Tests for Detecting Statistical Evidence of 2D and 3D Interactions in Single-Molecule Measurements
Christopher P. Calderon, Lucien E. Weiss, W. E. Moerner
A variety of experimental techniques have improved the 2D and 3D spatial resolution that can be extracted from \emph{in vivo} single-molecule measurements. This enables researchers…
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…