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Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations

Journal of pharmaceutical sciences, 2018-04, Vol.107 (4), p.999-1008

2018

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Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments

PloS one, 2015-09, Vol.10 (9), p.e0137633-e0137633

2015

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Statistical Inference of Transport Mechanisms and Long Time Scale Behavior from Time Series of Solute Trajectories in Nanostructured Membranes

The journal of physical chemistry. B, 2020-09, Vol.124 (37), p.8110-8123

2020

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

Molecules (Basel, Switzerland), 2014-11, Vol.19 (11), p.18381-18398

Calderon, Christopher P

2014

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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

Molecules (Basel, Switzerland), 2015-02, Vol.20 (2), p.2828-2830

Calderon, Christopher P

2015

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Machine learning and statistical analyses for extracting and characterizing “fingerprints” of antibody aggregation at container interfaces from flow microscopy images

Biotechnology and bioengineering, 2020-11, Vol.117 (11), p.3322-3335

2020

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Enhanced Diffusive Transport in Fluctuating Porous Media

ACS nano, 2021-04, Vol.15 (4), p.7392-7398

2021

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Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations

Biotechnology and bioengineering, 2022-12, Vol.119 (12), p.3596-3611

2022

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Interfacial Adsorption Controls Particle Formation in Antibody Formulations Subjected to Extensional Flows and Hydrodynamic Shear

Journal of pharmaceutical sciences, 2023-11, Vol.112 (11), p.2766-2777

2023

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Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning

Journal of pharmaceutical sciences, 2024-08, Vol.113 (8), p.2114-2127

2024

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Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation

Journal of pharmaceutical sciences, 2022-10, Vol.111 (10), p.2730-2744

2022

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Motion of VAPB molecules reveals ER-mitochondria contact site subdomains

Nature (London), 2024-02, Vol.626 (7997), p.169-176

2024

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Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses

Journal of pharmaceutical sciences, 2024-05, Vol.113 (5), p.1177-1189

2024

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Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles

Journal of pharmaceutical sciences, 2022-09, Vol.111 (9), p.2422-2434

2022

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Using stochastic models calibrated from nanosecond nonequilibrium simulations to approximate mesoscale information

The Journal of chemical physics, 2009-04, Vol.130 (14), p.144908-144908-13

2009

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

Physical review. E, 2016-05, Vol.93 (5), p.053303-053303, Article 053303

Calderon, Christopher P

2016

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Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum-salt adjuvanted vaccine formulation

Biotechnology and bioengineering, 2024-05, Vol.121 (5), p.1626-1641

2024

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Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping

Journal of pharmaceutical sciences, 2021-07, Vol.110 (7), p.2743-2752

2021

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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy

Pharmaceutical research, 2022-02, Vol.39 (2), p.263-279

2022

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Detection of Subtle Dynamical Changes Induced by Unresolved “Conformational Coordinates” in Single-Molecule Trajectories via Goodness-of-Fit Tests

The journal of physical chemistry. B, 2010-03, Vol.114 (9), p.3242-3253

Calderon, Christopher P

2010

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Analyzing single-molecule manipulation experiments

Journal of molecular recognition, 2009-09, Vol.22 (5), p.356-362

2009

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Estimation and Inference of Diffusion Coefficients in Complex Biomolecular Environments

Journal of chemical theory and computation, 2011-02, Vol.7 (2), p.280-290

Calderon, Christopher P

2011

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On the use of local diffusion models for path ensemble averaging in potential of mean force computations

The Journal of chemical physics, 2007-02, Vol.126 (8), p.084106-084106

Calderon, Christopher P

2007

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Quantifying Transient 3D Dynamical Phenomena of Single mRNA Particles in Live Yeast Cell Measurements

The journal of physical chemistry. B, 2013-12, Vol.117 (49), p.15701-15713

2013

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Hydrogel Coatings on Container Surfaces Reduce Protein Aggregation Caused by Mechanical Stress and Cavitation

ACS applied bio materials, 2021-09, Vol.4 (9), p.6946-6953

2021

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Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations

Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments

Statistical Inference of Transport Mechanisms and Long Time Scale Behavior from Time Series of Solute Trajectories in Nanostructured Membranes

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

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

Machine learning and statistical analyses for extracting and characterizing “fingerprints” of antibody aggregation at container interfaces from flow microscopy images

Enhanced Diffusive Transport in Fluctuating Porous Media

Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations

Interfacial Adsorption Controls Particle Formation in Antibody Formulations Subjected to Extensional Flows and Hydrodynamic Shear

Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning

Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation

Motion of VAPB molecules reveals ER-mitochondria contact site subdomains

Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses

Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles

Using stochastic models calibrated from nanosecond nonequilibrium simulations to approximate mesoscale information

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

Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum-salt adjuvanted vaccine formulation

Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping

Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy

Detection of Subtle Dynamical Changes Induced by Unresolved “Conformational Coordinates” in Single-Molecule Trajectories via Goodness-of-Fit Tests

Analyzing single-molecule manipulation experiments

Estimation and Inference of Diffusion Coefficients in Complex Biomolecular Environments

On the use of local diffusion models for path ensemble averaging in potential of mean force computations

Quantifying Transient 3D Dynamical Phenomena of Single mRNA Particles in Live Yeast Cell Measurements

Hydrogel Coatings on Container Surfaces Reduce Protein Aggregation Caused by Mechanical Stress and Cavitation

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