Author

A. Zhovmer

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:imputation· 2 Organism:C. elegans· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

H. Shroff· 2 shared J. Liu· 2 shared M. Guo· 2 shared Y. Su· 2 shared Y. Wu· 2 shared A. Benedetto· 1 shared A. Cartagena-Rivera· 1 shared A. Upadhyaya· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioengineering

H. Shroff

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Author profile →

3 papers

Recent·Most cited

Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy

M. Guo, Y. Wu, C. M. Hobson, Y. Su, S. Qian, E. Krueger, R. Christensen, G. Kroeschell, J. Bui, M. Chaw, L. Zhang, J. Liu, X. Hou, X. Han, Z. Lu, , H. Shroff

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

bioRxiv · Oct 15, 2023 · PreprintBioengineering

Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes

J. Chen, H. Sasaki, H. Lai, Y. Su, J. Liu, Y. Wu, A. Zhovmer, C. A. Combs, I. Rey-Suarez, H. Chang, C. C. Huang, X. Li, M. Guo, S. Nizambad, A. Upadhyaya, , H. Shroff

This paper applies RCAN to enhance fluorescence microscopy image volumes, achieving denoising and resolution improvements across multiple microscopy techniques.

Nature Methods · May 31, 2021Peer-reviewedBioengineering

Engineering T cells to enhance 3D migration through structurally and mechanically complex tumor microenvironments

E. D. Tabdanov, N. J. Rodriguez-Merced, A. Cartagena-Rivera, V. Puram, M. Callaway, E. Ensminger, E. Pomeroy, K. Yamamoto, W. S. Lahr, B. R. Webber, B. Moriarity, A. Zhovmer, P. Provenzano

This study engineers T cells to improve 3D migration through tumor microenvironments by manipulating microtubule stability and contractility, showing enhanced migration in 3D matrices and tumors.

bioRxiv · Apr 21, 2020Cancer Biology