uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy

Li-Hao Yeh; Ivan E. Ivanov; Syuan-Ming Guo; Bryant B. Chhun; Ezzat Hashemi; May H. Han; Shalin B. Mehta

doi:10.1364/NTM.2021.NM3C.4

Biophotonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper NM3C.4
•https://doi.org/10.1364/NTM.2021.NM3C.4

uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy

Li-Hao Yeh, Ivan E. Ivanov, Syuan-Ming Guo, Bryant B. Chhun, Ezzat Hashemi, May H. Han, and Shalin B. Mehta

Novel Techniques in Microscopy 2021

Washington, DC United States
12–16 April 2021
ISBN: 978-1-943580-85-9

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Advancing Microscopy: Going Faster, Deeper, and Smaller (NM3C)

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L. Yeh, I. E. Ivanov, S. Guo, B. B. Chhun, E. Hashemi, M. H. Han, and S. B. Mehta, "uPTI: uniaxial permittivity tensor imaging of intrinsic density and anisotropy," in Biophotonics Congress 2021, C. Boudoux, K. Maitland, C. Hendon, M. Wojtkowski, K. Quinn, M. Schanne-Klein, N. Durr, D. Elson, F. Cichos, L. Oddershede, V. Emiliani, O. Maragò, S. Nic Chormaic, N. Pégard, S. Gibbs, S. Vinogradov, M. Niedre, K. Samkoe, A. Devor, D. Peterka, P. Blinder, and E. Buckley, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper NM3C.4.

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Abstract

We present a label-free computational microscopy method, uPTI, which reports components of uniaxial permittivity tensor, including phase and 3D anisotropy across volumes. We report data from mouse brain tissue to demonstrate how uPTI enables discovery of intrinsic biological architecture.

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