Publications by authors named "Christopher P Calderon"

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Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.
Nidhi G Thite, Michael Yarnell, Terry J Fry, Matthew Seefeldt, Christopher P Calderon

Biotechnol Bioeng· September 2025

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Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis.
David N Greenblott, Christopher P Calderon, Theodore W Randolph

J Pharm Sci· February 2025

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Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning.
Nidhi G Thite, Emma Tuberty-Vaughan, Paige Wilcox, Nicole Wallace, Christopher P Calderon

J Pharm Sci· August 2024

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Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum-salt adjuvanted vaccine formulation.
David N Greenblott, Caitlin V Wood, Jingtao Zhang, Nelia Viza, Ramesh Chintala, Christopher P Calderon

Biotechnol Bioeng· May 2024

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Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.
David N Greenblott, Florian Johann, Jared R Snell, Henning Gieseler, Christopher P Calderon

J Pharm Sci· May 2024

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Motion of VAPB molecules reveals ER-mitochondria contact site subdomains.
Christopher J Obara, Jonathon Nixon-Abell, Andrew S Moore, Federica Riccio, David P Hoffman, Christopher P Calderon

Nature· February 2024

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Interfacial Adsorption Controls Particle Formation in Antibody Formulations Subjected to Extensional Flows and Hydrodynamic Shear.
Nidhi G Thite, Saba Ghazvini, Nicole Wallace, Naomi Feldman, Christopher P Calderon

J Pharm Sci· November 2023

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Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations.
David N Greenblott, Jingtao Zhang, Christopher P Calderon, Theodore W Randolph

Biotechnol Bioeng· December 2022

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Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.
Nidhi G Thite, Saba Ghazvini, Nicole Wallace, Naomi Feldman, Christopher P Calderon

J Pharm Sci· October 2022

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Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles.
Christopher P Calderon, Ana Krhač Levačić, Constanze Helbig, Klaus Wuchner, Tim Menzen

J Pharm Sci· September 2022

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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.
Christopher P Calderon, Dean C Ripple, Charudharshini Srinivasan, Youlong Ma, Michael J Carrier

Pharm Res· February 2022

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Hydrogel Coatings on Container Surfaces Reduce Protein Aggregation Caused by Mechanical Stress and Cavitation.
Sanli Movafaghi, Austin L Daniels, Mary D Kelly, Alyssa E Witeof, Christopher P Calderon

ACS Appl Bio Mater· September 2021

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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, Sanli Movafaghi, Katherine Kurtz, Christopher P Calderon

J Pharm Sci· July 2021

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Enhanced Diffusive Transport in Fluctuating Porous Media.
Raphaël Sarfati, Christopher P Calderon, Daniel K Schwartz

ACS Nano· April 2021

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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

Biotechnol Bioeng· November 2020

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Statistical Inference of Transport Mechanisms and Long Time Scale Behavior from Time Series of Solute Trajectories in Nanostructured Membranes.
Benjamin J Coscia, Christopher P Calderon, Michael R Shirts

J Phys Chem B· September 2020

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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

J Pharm Sci· April 2018

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Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments.
Christopher P Calderon, Kerry Bloom

PLoS One· May 2016

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Motion blur filtering: A statistical approach for extracting confinement forces and diffusivity from a single blurred trajectory.
Christopher P Calderon

Phys Rev E· May 2016

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Correction: Calderon, C.P. Data-Driven Techniques for Detecting Dynamical State Changes in Noisily Measured 3D Single-Molecule Trajectories. Molecules 19, 18381-18398.
Christopher P Calderon

Molecules· February 2015

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Data-driven techniques for detecting dynamical state changes in noisily measured 3D single-molecule trajectories.
Christopher P Calderon

Molecules· November 2014

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Robust hypothesis tests for detecting statistical evidence of two-dimensional and three-dimensional interactions in single-molecule measurements.
Christopher P Calderon, Lucien E Weiss, W E Moerner

Phys Rev E Stat Nonlin Soft Matter Phys· May 2014

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Quantifying transient 3D dynamical phenomena of single mRNA particles in live yeast cell measurements.
Christopher P Calderon, Michael A Thompson, Jason M Casolari, Randy C Paffenroth, W E Moerner

J Phys Chem B· December 2013

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Correcting for bias of molecular confinement parameters induced by small-time-series sample sizes in single-molecule trajectories containing measurement noise.
Christopher P Calderon

Phys Rev E Stat Nonlin Soft Matter Phys· July 2013

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Estimation and Inference of Diffusion Coefficients in Complex Biomolecular Environments.
Christopher P Calderon

J Chem Theory Comput· February 2011

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