Author

S.-M. Guo

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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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:spatial domain detection· 2 Research Focus:clustering· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

L.-H. Yeh· 2 shared S. B. Mehta· 2 shared A. P. Krishnan· 1 shared B. B. Chhun· 1 shared B. Chhun· 1 shared B. R. Conklin· 1 shared C. Foltz· 1 shared D. Shin· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBiophysics

L.-H. Yeh

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2 papers

Recent·Most cited

uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy

L.-H. Yeh, I. E. Ivanov, J. R. Byrum, B. B. Chhun, S.-M. Guo, C. Foltz, E. Hashemi, J. A. Perez-Bermejo, H. Wang, Y. Yu, P. G. Kazansky, B. R. Conklin, M. H. Han, S. B. Mehta

This paper introduces uPTI, a label-free imaging method to measure permittivity tensors in biological samples, enabling 3D orientation and symmetry analysis of cellular structures with high resolution.

bioRxiv · Dec 15, 2020 · PreprintBiophysics

Revealing architectural order with quantitative label-free imaging and deep learning

S.-M. Guo, L.-H. Yeh, J. Folkesson, I. Ivanov, A. P. Krishnan, M. G. Keefe, D. Shin, B. Chhun, N. Cho, M. Leonetti, T. J. Nowakowski, S. B. Mehta

This paper combines label-free imaging with deep learning to analyze biological structures, showing it can predict 3D fluorescent features in tissues.

bioRxiv · Nov 24, 2019Biophysics