Author

Jennie Si

Arizona State UniversityORCID 0000-0002-0374-7404Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron J. YoungiD· 1 shared Friedl De GrooteiD· 1 shared Gregory S. SawickiiD· 1 shared He HuangiD· 1 shared Howard J. GrittoniD· 1 shared Hua-an TsengiD· 1 shared Kyle HanseniD· 1 shared Massimo SartoriiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPhysiology

Aaron J. YoungORCID

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2 papers

Recent·Most cited

Experiment-free learning of exoskeleton assistance remains an unsolved problem

Steven H. Collins, Friedl De Groote, Robert D. Gregg, He Huang, Tommaso Lenzi, Massimo Sartori, Gregory S. Sawicki, Jie Si, Patrick Slade, Aaron J. Young

The paper critiques a study claiming experiment-free exoskeleton control via simulation, highlighting unverified claims and physiological inconsistencies.

bioRxiv · Apr 6, 2026 · PreprintPhysiology

Automatic Cell Segmentation by Adaptive Thresholding (ACSAT) for large scale calcium imaging datasets

Simon P. Shen, Hua-an Tseng, Kyle Hansen, Ruofan Wu, Howard J. Gritton, Jennie Si, Xue Han

ACSAT automatically segments neurons in large-scale calcium imaging datasets using adaptive thresholding, achieving 80% precision and recall comparable to human inspection.

eNeuro · Sep 1, 2018Peer-reviewedNeuroscience