Presentation
2 March 2022 Mapping intrinsic density and anisotropy in biological specimens with uniaxial permittivity tensor imaging (uPTI)
Li-Hao Yeh, Ivan E. Ivanov, Janie R. Byrum, Bryant B. Chhun, Syuan-Ming Guo, Ezzat Hashemi, Juan A. Perez-Bermejo, Huijun Wang, Peter G. Kazansky, Bruce R. Conklin, May H. Han, Shalin B. Mehta
Author Affiliations +
Abstract
Label-free microscopy methods have been developed to measure isotropic (phase) and anisotropic components of the uniaxial permittivity tensor (uPT) separately. These methods are now broadly used to analyze biological architecture. Few methods have combined these measurements, but they do not provide complete measurement of uPT considering diffraction. Here we report a computational microscopy method, termed uniaxial permittivity tensor imaging (uPTI) for diffraction-aware measurements of uPT. The invisible uPT is converted into visible intensity variations using add-on microscopy modules for asymmetric illumination and polarization-sensitive detection. We develop a vectorial partially coherent imaging model that describes the intensities in terms of uPT. We retrieve the uPT with a multi-channel deconvolution algorithm. We demonstrate the multi-modal high-resolution imaging of biological specimens with uPTI.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li-Hao Yeh, Ivan E. Ivanov, Janie R. Byrum, Bryant B. Chhun, Syuan-Ming Guo, Ezzat Hashemi, Juan A. Perez-Bermejo, Huijun Wang, Peter G. Kazansky, Bruce R. Conklin, May H. Han, and Shalin B. Mehta "Mapping intrinsic density and anisotropy in biological specimens with uniaxial permittivity tensor imaging (uPTI)", Proc. SPIE PC11972, Label-free Biomedical Imaging and Sensing (LBIS) 2022, PC119720Y (2 March 2022); https://doi.org/10.1117/12.2608838
Advertisement
Advertisement
KEYWORDS
Anisotropy

Phase measurement

Microscopy

Polarization

Tissue optics

3D metrology

3D modeling

Back to Top