Author

T. Ogane

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Y. Matsunaga· 2 shared A. Yamashita· 1 shared D. Noshiro· 1 shared S. Fuchigami· 1 shared S. Takada· 1 shared T. Ando· 1 shared Y. Sugita· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBiophysics

Y. Matsunaga

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2 papers

Recent·Most cited

End-to-End Differentiable Blind Tip Reconstruction for Noisy Atomic Force Microscopy Images

Y. Matsunaga, S. Fuchigami, T. Ogane, S. Takada

This paper introduces an end-to-end differentiable method for blind tip reconstruction in AFM images, showing robustness to noise and accurate surface geometry reconstruction.

bioRxiv · Sep 24, 2022Biophysics

Hidden Markov Modeling of Molecular Orientations and Structures from High-Speed Atomic Force Microscopy Time-Series Images

T. Ogane, D. Noshiro, T. Ando, A. Yamashita, Y. Sugita, Y. Matsunaga

This paper introduces a hidden Markov model to estimate molecular orientations from HS-AFM time-series data, showing improved robustness compared to frame-by-frame analysis.

bioRxiv · Jul 18, 2022 · PreprintBiophysics