Author

L.-H. Yeh

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Organism:mouse· 3 Research Focus:spatial domain detection· 3 Approach:deep learning· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1

Frequent Co-Authors

S. B. Mehta· 3 shared I. E. Ivanov· 2 shared J. A. Perez-Bermejo· 2 shared J. R. Byrum· 2 shared M. Leonetti· 2 shared S.-M. Guo· 2 shared A. P. Krishnan· 1 shared B. B. Chhun· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBiophysics

S. B. Mehta

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Author profile →

3 papers

Recent·Most cited

Correlative imaging of spatio-angular dynamics of molecular assemblies and cells with multimodal instant polarization microscope

I. E. Ivanov, L.-H. Yeh, J. A. Perez-Bermejo, J. R. Byrum, J. Y. S. Kim, M. Leonetti, S. B. Mehta

The paper introduces a new microscope, miPolScope, that enables label-free imaging of molecular and cellular architecture with high speed and resolution, and demonstrates its application on various biological samples.

bioRxiv · Feb 7, 2022Bioengineering

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