Author

Celine Neudorf

University of California, Santa Cruz

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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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:long-read sequencing· 1 Organism:mouse· 1

Frequent Co-Authors

Abolfazl Zargari· 1 shared Angela Norie BrooksiD· 1 shared Christopher VollmersiD· 1 shared Dori Z.Q. DengiD· 1 shared Eva Hrabeta‐RobinsoniD· 1 shared Gerrald A. LodewijkiD· 1 shared Honey E. MekoneniD· 1 shared Jack Verhage· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Abolfazl Zargari

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2 papers

Recent·Most cited

R2C2+UMI: Combining concatemeric consensus sequencing with unique molecular identifiers enables ultra-accurate sequencing of amplicons on Oxford Nanopore Technologies sequencers

Dori Z.Q. Deng, Jack Verhage, Celine Neudorf, Russell B Corbett-Detig, Honey E. Mekonen, Peter J. Castaldi, Christopher Vollmers

The paper introduces R2C2+UMI, a method combining concatemeric consensus sequencing with UMIs to achieve ultra-accurate sequencing of amplicons on Oxford Nanopore sequencers.

PNAS Nexus · Aug 21, 2024Peer-reviewedGenomics

DeepSea: An efficient deep learning model for single-cell segmentation and tracking of time-lapse microscopy images

Abolfazl Zargari, Gerrald A. Lodewijk, Najmeh Mashhadi, Nathan Cook, Celine Neudorf, Kimiasadat Araghbidikashani, Robert Hays, Sayaka Kozuki, Stefany Rubio, Eva Hrabeta‐Robinson, Angela Norie Brooks, Lindsay Hinck, S. Ali Shariati

DeepSea is a deep learning model for segmenting and tracking single cells in time-lapse microscopy images, showing cell size control in embryonic stem cells during G1 phase.

Cell Reports Methods · Jun 1, 2023Peer-reviewedSystems Biology