Connection
Christopher Calderon to Microscopy
This is a "connection" page, showing publications Christopher Calderon has written about Microscopy.
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1.828 |
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Calderon CP, Ripple DC, Srinivasan C, Ma Y, Carrier MJ, Randolph TW, O'Connor TF. Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy. Pharm Res. 2022 Feb; 39(2):263-279.
Score: 0.689
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Calderon CP, Bloom K. Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments. PLoS One. 2015; 10(9):e0137633.
Score: 0.443
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Greenblott DN, Calderon CP, Randolph TW. Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis. J Pharm Sci. 2025 Feb; 114(2):1254-1263.
Score: 0.212
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Greenblott DN, Johann F, Snell JR, Gieseler H, Calderon CP, Randolph TW. Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses. J Pharm Sci. 2024 05; 113(5):1177-1189.
Score: 0.199
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Daniels AL, Calderon CP, Randolph TW. Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images. Biotechnol Bioeng. 2020 11; 117(11):3322-3335.
Score: 0.155
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Calderon CP, Daniels AL, Randolph TW. Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations. J Pharm Sci. 2018 04; 107(4):999-1008.
Score: 0.130