Author

R. W. Hafenstine

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Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

D. S. Long· 1 shared M. Contreras· 1 shared W. Bachman· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

D. S. Long

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintMar 21, 2022

A Machine Learning Framework to Predict Subcellular Morphology of Endothelial Cells for Digital Twin Generation

M. Contreras, R. W. Hafenstine, W. Bachman, D. S. Long

This paper develops a machine learning framework to predict 3D subcellular morphology of endothelial cells and generates digital twins with high accuracy.

DOI 10.1101/2022.03.21.485159

humanimaging

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