Author

Sophie M. Whikehart

Seattle Children's Research InstituteORCID 0000-0001-7919-9056Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Organism:mouse· 1 Research Focus:software / tool· 1

Frequent Co-Authors

A. Murat MagaiD· 2 shared Sara M. RolfeiD· 2 shared Rachel A. RostoniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersZoology

A. Murat MagaORCID

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2 papers

Recent·Most cited

ZoologybioRxivPreprintJun 30, 2024

Morphological simulation tests the limits on phenotype discovery in 3D image analysis

Rachel A. Roston, Sophie M. Whikehart, Sara M. Rolfe, A. Murat Maga

This paper introduces a 3D morphological simulation approach to test phenotype detection methods, showing that detectability depends on effect size, sample size, and ROI selection.

DOI 10.1101/2024.06.30.601430

imagingdeep learning

𝕏 PostBluesky

Developmental BiologyBiology OpenPeer-reviewedFeb 15, 2023

DEEP LEARNING ENABLED MULTI-ORGAN SEGMENTATION OF MOUSE EMBRYOS

Sara M. Rolfe, Sophie M. Whikehart, A. Murat Maga

This paper introduces MEMOS, a deep learning tool for segmenting 50 anatomical structures in mouse embryos, validated against atlas-based methods and knockout strain data.

22 citations

mouseimaging

𝕏 PostBluesky