Connection
Theodore Randolph to Microscopy
This is a "connection" page, showing publications Theodore Randolph has written about Microscopy.
|
|
Connection Strength |
|
 |
|
 |
|
1.139 |
|
|
|
-
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: 0.655
-
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: 0.182
-
Daniels AL, Randolph TW. Flow Microscopy Imaging Is Sensitive to Characteristics of Subvisible Particles in Peginesatide Formulations Associated With Severe Adverse Reactions. J Pharm Sci. 2018 05; 107(5):1313-1321.
Score: 0.138
-
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: 0.137
-
Holm LS, Mcumber A, Rasmussen JE, Obiols-Rabasa M, Thulstrup PW, Kasimova MR, Randolph TW, van de Weert M. The effect of protein PEGylation on physical stability in liquid formulation. J Pharm Sci. 2014 Oct; 103(10):3043-54.
Score: 0.027