1. Articles from Ronghua Liang

    1-3 of 3
    1. Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography

      Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography

      he research of external fingerprint collected by total internal reflection (TIR) has been carried out for decades and research of internal fingerprint of optical coherence tomography (OCT) has just begun. The internal fingerprint can be hardly affected by the finger surface status, due to its strong anti-interference and anti-spoofing ability, which can serve as a powerful supplement to external fingerprint. However, matching fingerprints acquired by different ways can lead to a drop in fingerprint recognition accuracy owing to the differences in fingerprint quality, distortions and detection areas. Whether the internal fingerprint can be used to replace the external fingerprint for ...

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    2. Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network

      Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network

      Optical coherence tomography (OCT) is a non-destructive, high-resolution, and non-invasive imaging technique that has recently been applied to biometric field for three dimensional (3D) fingertip data acquisition. Fingertip volume data contains the epidermis and part of the dermis layers representing the surface fingerprint and internal fingerprint, respectively. As a 3D and under skin feature, internal fingerprint provides much higher anti-counterfeiting capability compared with traditional 2D fingerprints. Furthermore, it is not affected by fingertip conditions such as wet, worn out (old) and small scars/injuries. However, the extraction of surface and internal fingerprints is challenging due to the speckle noise and ...

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    3. Velocity range estimation for liquid flow based on optical micro-angiography

      Velocity range estimation for liquid flow based on optical micro-angiography

      Optical micro-angiography (OMAG) is widely used in vivo imaging due to its non-invasive and highly sensitive measurements. It can effectively distinguish flowing and stationary particles for applications such as micro-size blood vessel. However, the detectable flow velocity of OMAG is restricted by the system parameters. Their relationship is usually unknown and thus increase the difficulty of OMAG application on liquid flow measurements. This study for the first time proposes a velocity range estimation formula to quantify the measurable velocity range of liquid flow for the OMAG and the ultrahigh-sensitivity OMAG (UHS-OMAG) methods. The velocity range not only provides rough velocity ...

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    1-3 of 3
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  2. Topics in the News

    1. (6 articles) National Institutes of Health
    2. (3 articles) Zhejiang University
    3. (2 articles) UC Irvine
    4. (2 articles) Oregon Health & Science University
    5. (2 articles) Zhongping Chen
    6. (2 articles) Yifan Jian
    7. (1 articles) Tsinghua University
    8. (1 articles) Yonghong He
    9. (1 articles) UCLA
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    12. (1 articles) Evelyn Regar
    13. (1 articles) Antonios Karanasos
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    Velocity range estimation for liquid flow based on optical micro-angiography Acquisition and Extraction of Surface and Internal Fingerprints from Optical Coherence Tomography through 3D Fully Convolutional Network Synchronous fingerprint acquisition system based on total internal reflection and optical coherence tomography The Effect of Anti-Tubercular Drugs on Retinal Nerve Fiber Layer Thickness Using Optical Coherence Tomography A Cross-sectional Optical Coherence Tomography Study in Patients on Taxane-based Therapy and A Case Report with the Literature Review Association of systemic inflammatory biomarkers with morphological characteristics of the coronary atherosclerotic plaque by intravascular optical coherence tomography. OCT angiography improves views of retina blood flow Real-time retinal layer segmentation of OCT Volumes with GPU and Deep learning Baylor College of Medicine Receives a 2020 NIH Grant for Biomechanics of Early Mammalian Cardiogenesis University of Houston Receives a 2020 NIH Grant for Biomechanics of Neural Tube Development using Brillouin-OCT Multimodality Oregon Health and Sciences University Receives a 2020 NIH Grant  for Artificial Intelligence Assisted Panoramic Optical Coherence Tomography for Retinopathy of Prematurity UC Irvine Receives a 2020 NIH Grant for In Vivo Imaging and Quantification of Cilia Beating Dynamics Using Phase-Resolved Optical Imaging Technology