1. Gang Yao

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    1. Mentioned In 12 Articles

    2. Optical tractography of the mouse heart using polarization-sensitive optical coherence tomography

      Optical tractography of the mouse heart using polarization-sensitive optical coherence tomography

      We developed a method to image myocardial fiber architecture in the mouse heart using a Jones matrix-based polarization-sensitive optical coherence tomography (PSOCT) system. The “cross-helical” laminar structure of myocardial fibers can be clearly visualized using this technology. The obtained myocardial fiber organization agrees well with existing knowledge acquired using conventional histology and diffusion tensor magnetic resonance imaging

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    3. Mapping local optical axis in birefringent samples using polarization-sensitive optical coherence tomography

      Mapping local optical axis in birefringent samples using polarization-sensitive optical coherence tomography

      An algorithm was developed to obtain depth-resolved local optical axis in birefringent samples by using conventional polarization-sensitive optical coherence tomography (PSOCT) that uses a single circularly polarized incident light. The round-trip sample Jones matrices were first constructed from the cumulative PSOCT results. An iterative method was then applied to construct the depth-resolved local Jones matrix from which the local optical axis was calculated. The proposed algorithm was validated in samples with homogeneous axis and with depth-varying optical axis. Imaging examples were shown to demonstrate the capability of this method for extracting correct local axis and revealing features not evident in ...

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    4. Full-range spectral domain Jones matrix optical coherence tomography using a single spectral camera

      Full-range spectral domain Jones matrix optical coherence tomography using a single spectral camera

      Jones matrix optical coherence tomography can fully characterize depth-resolved polarization properties in tissue. In this report, we described a simple single-camera based implementation of full-range spectral domain Jones matrix optical coherence tomography. The Jones matrix reconstruction algorithm was described in detail and system calibration was demonstrated with comprehensive examples. In addition to the conventional structural image, the images of retardance, optical axis and relative attenuation can be obtained from the measured Jones matrix image. Both in vitro and in vivo image examples were presented to demonstrate the polarization imaging ability of the system

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    5. 3D imaging of tomato seeds using frequency domain optical coherence tomography

      3D imaging of tomato seeds using frequency domain optical coherence tomography

      A fast imaging system that can reveal internal sample structures is important for research and quality controls of seeds. Optical coherence tomography (OCT) is a non-invasive optical imaging technique that can acquire high speed, high resolution depth-resolved images in scattering samples. It has found numerous applications in studying various biological tissues and other materials in vivo. A few studies have reported the use of OCT in studying seed morphology. However, 3D imaging of internal seed structure has not been reported before. In this study, we used a frequency domain OCT system to image tomato seeds. The system has a central ...

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    6. Correcting Optical-Axis Calculation in Polarization-Sensitive Optical Coherence Tomography

      Correcting Optical-Axis Calculation in Polarization-Sensitive Optical Coherence Tomography

      Polarization-sensitive optical coherence tomography (PSOCT) has found many applications in imaging birefringence tissue samples. Polarization-sensitive detection is often implemented by utilizing a circularly polarized incident light and detecting the two orthogonal horizontal- and vertical-polarized interference components. However, the obtained optical axes images were inappropriately represented as depth-dependent periodic maps in all reported studies. A detailed analysis confirmed that this misrepresentation was caused by the accumulation of optical retardation with depth. A simple method was proposed to numerically correct this optical-axis calculation. Experimental studies in tendon tissue demonstrated that this method can be applied to map the 2-D optical-axis distributions in ...

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    7. Depth-resolved two-dimensional stokes vectors of backscattered light and mueller matrices of biological tissue measured with optical coherence tomography.

      Mueller matrices provide a complete characterization of the optical polarization properties of biological tissue. A polarization-sensitive optical coherence tomography (OCT) system was built and used to investigate the optical polarization properties of biological tissues and other turbid media. The apparent degree of polarization (DOP) of the backscattered light was measured with both liquid and solid scattering samples. The DOP maintains the value of unity within the detectable depth for the solid sample, whereas the DOP decreases with the optical depth for the liquid sample. Two-dimensional depth-resolved images of both the Stokes vectors of the backscattered light and the full Mueller ...

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    8. Two-dimensional depth-resolved Mueller matrix characterization of biological tissue by optical coherence tomography.

      We built a polarization-sensitive optical coherence tomographic system and measured the two-dimensional depth-resolved full 4 x 4 Mueller matrix of biological tissue for what is believed to be the first time. The Mueller matrix measurements, which we made by varying the polarization states of the light source and the detector, yielded a complete characterization of the polarization property of the tissue sample. The initial experimental results indicated that this new approach reveals some tissue structures that are not perceptible in standard optical coherence tomography. PMID: 18071564 [PubMed - in process]
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  2. About Gang Yao

    Gang Yao

    Gang Yao, PhD, is currently an associate professor in Department of Biological Engineering at University of Missouri. He earned his PhD in Biomedical Engineering from Texas A&M; University in 2000 under the supervision of Prof.Lihong Wang. He worked for GE Medical Systems as a software engineer from 2001-2002 before joining University of Missouri.