30 citations · 136 across the 10 of their papers we have counts for
10 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…
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…
Correcting for Bias of Molecular Confinement Parameters Induced by Small Time Series Sample Sizes in Single-Molecule Trajectories Containing Measurement Noise
Christopher P. Calderon
Several single-molecule studies aim to reliably extract parameters characterizing molecular confinement or transient kinetic trapping from experimental observations. Pioneering wor…
A Random Force is a Force, of Course, of Coarse: Decomposing Complex Enzyme Kinetics with Surrogate Models
Christopher P. Calderon
The temporal autocorrelation (AC) function associated with monitoring order parameters characterizing conformational fluctuations of an enzyme is analyzed using a collection of sur…
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…
On the Use of Local Diffusion Models for Path Ensemble Averaging in Potential of Mean Force Computations
Christopher P. Calderon
We use a constant velocity steered molecular dynamics (SMD) simulation of the stretching of deca-alanine in vacuum to demonstrate a technique that can be used to create surrogate s…
Fitting Effective Diffusion Models to Data Associated with a "Glassy Potential": Estimation, Classical Inference Procedures and Some Heuristics
Christopher P. Calderon
A variety of researchers have successfully obtained the parameters of low dimensional diffusion models using the data that comes out of atomistic simulations. This naturally raises…