Author

Hisayuki Osanai

The University of Texas Southwestern Medical CenterORCID 0000-0002-0920-8428Unclaimed 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 Approach:statistical model· 3 Assay:imaging· 2 Organism:mouse· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1

Frequent Co-Authors

貴司北村iD· 3 shared Sachie K. OgawaiD· 2 shared Chris C. Snell· 1 shared Jun YamamotoiD· 1 shared Mary Arai· 1 shared Miari Arai· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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3 shared papersNeuroscience

貴司北村ORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 21, 2025

Combinative protein expression of immediate early genesc-Fos, Arc, and Npas4 along aversive- and reward-related neural networks

Mary Arai, Hisayuki Osanai, Chris C. Snell…·Sachie K. Ogawa

The paper examines the combinative expression of IEGs c-Fos, Arc, and Npas4 in different brain regions after aversive and rewarding experiences, showing area-specific patterns and functional connectivity differences.

2 citations

mouseimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintNov 7, 2024

Automated cell detection for immediate early gene-expressing neurons using inhomogeneous background subtraction in fluorescent images

Hisayuki Osanai, Miari Arai, 貴司北村, Sachie K. Ogawa

This paper introduces ADABA, an automated cell detection method for fluorescent images with inhomogeneous backgrounds, showing it matches manual detection in mouse brain regions.

DOI 10.1101/2024.11.07.622525

mouseimaging

𝕏 PostBluesky

NeuroscienceCell Reports MethodsPeer-reviewedMay 17, 2023

Extracting electromyographic signals from multi-channel local-field-potentials using independent component analysis without direct muscular recording

Hisayuki Osanai, Jun Yamamoto, 貴司北村

This paper extracts EMG signals from local field potentials using ICA without direct muscle recording, showing high correlation with actual EMG and utility in behavioral analysis.

9 citations

electronic health recordsstatistical model

𝕏 PostBluesky