Author

Daniel Saelid

Allen Institute for Cell Science

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

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Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alexandra J. Ferrante· 1 shared Antoine BorensztejniD· 1 shared Benjamin MorrisiD· 1 shared Christopher L. FrickiD· 1 shared Fatwir S. MohammediD· 1 shared Guilherme G. P. Freitas PiresiD· 1 shared Julie A. TheriotiD· 1 shared Matheus Palhares VianaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

Alexandra J. Ferrante

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1 paper

Recent·Most cited

Interpretable representation learning for 3D multi-piece intracellular structures using point clouds

Ritvik Vasan, Alexandra J. Ferrante, Antoine Borensztejn, Christopher L. Frick, Philip Garrison, Nathalie Gaudreault, Saurabh S. Mogre, Fatwir S. Mohammed, Benjamin Morris, Guilherme G. P. Freitas Pires, Daniel Saelid, Susanne M. Rafelski, Julie A. Theriot, Matheus Palhares Viana

This paper introduces a morphology-appropriate representation learning framework for 3D multi-piece intracellular structures, showing improved sub-cluster discovery and phenotypic profiling.

Nature Methods · Jul 1, 2025Peer-reviewedCell Biology