Author

E. Yemini

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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Animal Behavior & Cognition· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:C. elegans· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:imputation· 1

Frequent Co-Authors

A. Benedetto· 1 shared A. E. Brown· 1 shared A. Javer· 1 shared A. Zhovmer· 1 shared C. Combs· 1 shared C. Li· 1 shared C. M. Hobson· 1 shared C. N. Martineau· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioengineering

A. Benedetto

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Author profile →

2 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

An open source platform for analyzing and sharing worm behavior data

A. Javer, M. Currie, C. W. Lee, J. Hokanson, K. Li, C. N. Martineau, E. Yemini, L. J. Grundy, C. Li, Q. Chng, W. R. Schafer, E. A. Nollen, R. Kerr, A. E. Brown

The paper introduces an open-source platform for analyzing and sharing worm behavior data to address challenges in storage, data formatting, and software for computational ethology.

bioRxiv · Jul 26, 2018Animal Behavior & Cognition