Publications by Year: 2019

E Shlevkov, H Basu, MA Bray, Z Sun, W Wei, K Apaydin, KW Karhohs, PF Chen, JLM Smith, O Wiskow, K Roet, X Huang, K Eggan, Carpenter AE, RJ Kleiman, and TL Schwarz. 2019. “A High-Content Screen Identifies TPP1 and Aurora B as Regulators of Axonal Mitochondrial Transport.” Cell Reports. 28(12), 3224–3237.e5. Publisher's Version
JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, M Haghighi, C Heng, T Becker, M Doan, C McQuin, M Rohban, S Singh, and Carpenter AE. 2019. “Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl.” Nature Methods. Publisher's Version
Rohban MH, Shafqat-Abbasi H, Singh S, and Carpenter AE. 2019. “Capturing single-cell heterogeneity via data fusion improves image-based profiling.” Nature Communications. 10, 2082.
MW Lafarge, JC Caicedo, Carpenter AE, JPW Pluim, S Singh, and M Veta. 2019. “Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning.” In Proceedings of Machine Learning Research, 102: Pp. 315–325.
Kulikov V, Guo SM, Stone M, Goodman A, Carpenter AE, Bathe M, and Lempitsky V. 2019. “DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.” PLoS Computational Biology 15(5): e1007012.
JC Caicedo, J Roth, A Goodman, T Becker, KW Karhohs, M Broisin, C Molnar, C McQuin, S Singh, F Theis, and Carpenter AE. 2019. “Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images.” Cytometry, 95: 952-965.
Nassar M, Doan M, Filby A, Wolkenhauer O, Fogg DK, Piasecka J, Thornton CA, Carpenter AE, Summers HD, Rees P, and Hennig H. 2019. “Label‐Free Identification of White Blood Cells Using Machine Learning.” Cytometry.
Doan M and Carpenter AE. 2019. “Leveraging machine vision in cell-based diagnostics to do more with less.” Nature Materials 18, 414–418.
Rueden CT, Ackerman J, Arena ET, Eglinger J, Cimini BA, Goodman A, Carpenter AE, and Eliceiri KW. 2019. “Scientific Community Image Forum: A discussion forum for scientific image software.” PLoS Biology.