Author

Christopher J. Buswinka

Massachusetts Eye and Ear InfirmaryORCID 0000-0002-3618-5356Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Organism:mouse· 2 Approach:benchmark study· 1

Frequent Co-Authors

Artur A. IndzhykulianiD· 3 shared Richard T. OsgoodiD· 3 shared David B. Rosenberg· 2 shared Hidetomi Nitta· 2 shared Rubina G. SimikyaniD· 2 shared Albert S.B. EdgeiD· 1 shared Alejandra Catalina Vélez-OrtegaiD· 1 shared Amandine JarystaiD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Artur A. IndzhykulianORCID

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3 papers

Recent·Most cited

Large-scale annotated dataset for cochlear hair cell detection and classification

Christopher J. Buswinka, David B. Rosenberg, Rubina G. Simikyan, Richard T. Osgood, Katharine A. Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W. Liberman, Emily Nguyen, Erdem Yıldız, Jin‐Kyung Kim, Amandine Jarysta, Justine M. Renauld, Ella Wesson, Haobing Wang, , Artur A. Indzhykulian

The paper presents a large annotated dataset of cochlear hair cells for machine learning applications in hearing research.

Scientific Data · Apr 23, 2024Peer-reviewedNeuroscience

SKOOTS: Skeleton oriented object segmentation for mitochondria

Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian

SKOOTS segments mitochondria in 3D imaging data efficiently, revealing structural changes not detectable with existing methods.

bioRxiv · May 5, 2023 · PreprintNeuroscience

The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline

Christopher J. Buswinka, Richard T. Osgood, Rubina G. Simikyan, David B. Rosenberg, Artur A. Indzhykulian

The paper introduces HCAT, a machine learning tool for automated analysis of hair cells in cochlear images, enabling fast and unbiased counting, classification, and cochleogram generation.

PLoS Biology · Mar 22, 2023Peer-reviewedNeuroscience