Author

A. Hedberg-Buenz

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:rat· 1

Frequent Co-Authors

M. G. Anderson· 2 shared A. J. Feola· 1 shared A. T. Read· 1 shared C. A. Wong· 1 shared C. R. Ethier· 1 shared D. A. Soukup· 1 shared K. Wang· 1 shared M. K. Garvin· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioengineering

M. G. Anderson

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2 papers

Recent·Most cited

A Method for Analyzing AFM Force Mapping Data Obtained from Soft Tissue Cryosections

C. A. Wong, N. S. Fraticelli Guzman, A. T. Read, A. Hedberg-Buenz, M. G. Anderson, A. J. Feola, T. Sulchek, C. R. Ethier

The paper describes an AFM force mapping pipeline to analyze mechanical properties of cryosectioned soft tissues, showing that repeated measurements, outlier exclusion, and log-normal transformation improve reliability.

bioRxiv · Nov 8, 2023Bioengineering

AxonDeep: Automated Optic Nerve Axon Segmentation in Mice with Deep Learning.

W. Deng, A. Hedberg-Buenz, D. A. Soukup, S. Taghizadeh, K. Wang, M. G. Anderson, M. K. Garvin

AxonDeep uses deep learning to automate axon segmentation and quantification in mouse optic nerves, achieving performance comparable to experts while reducing variability and time.

bioRxiv · May 21, 2021Bioengineering