1. Jeng-wei Tjiu

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    1. Mentioned In 9 Articles

    2. Dermal Epidermal Junction Detection for Full-Field Optical Coherence Tomography Data of Human Skin by Deep Learning

      Dermal Epidermal Junction Detection for Full-Field Optical Coherence Tomography Data of Human Skin by Deep Learning
      Full-field optical coherence tomography (FF-OCT) has been developed to obtain three-dimensional (3D) OCT data of human skin for early diagnosis of skin cancer. Detection of dermal epidermal junction (DEJ), where melanomas and basal cell carcinomas originate, is an essential step for skin cancer diagnosis. However, most existing DEJ detection methods consider each cross-sectional frame of the 3D OCT data independently, leaving the relationship between neighboring frames unexplored. In this paper ...
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    3. Feature of The Week 03/26.2017: Segmentation of nucleus and cytoplasm of a single cell in 3D tomogram using OCT

      Feature of The Week 03/26.2017: Segmentation of nucleus and cytoplasm of a single cell in 3D tomogram using OCT
      uclear-to-cytoplasmic (N/C) ratio is an effective feature to distinguish cancer cells from their normal counterparts. In conventional cytopathology, cells printed or smeared on a glass slide were stained and then evaluated by two-dimensional (2D) images through light microscopy. A random rayburst sampling (RRBS) framework was developed to detect the nucleus and cell membrane boundaries in three-dimensional (3D) space. Raw images were acquired through a full-field optical coherence tomography (FF-OCT ...
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    4. Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography

      Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography
      A random rayburst sampling (RRBS) framework was developed to detect the nucleus and cell membrane boundaries in three-dimensional (3-D) space. Raw images were acquired through a full-field optical coherence tomography system with submicron resolutioni.e., 0.8 m 0.8m in lateral and 0.9 m 0.9m in axial directions. The near-isometric resolution enables 3-D segmentation of a nucleus and cell membrane for determining the volumetric nuclear-to-cytoplasmic (N/C ...
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    5. Feature Of The Week 9/28/14: National Taiwan University Reports on Full-depth epidermis tomography using a Mirau-based full-field OCT

      Feature Of The Week 9/28/14: National Taiwan University Reports on Full-depth epidermis tomography using a Mirau-based full-field OCT
      All living things are made of cells. Most living organisms are single cells; others, such as human bodies, are vast multicellular cities with an aggregation of more than 10 billion cells. Non-invasive and high speed imaging of cells and tissues with sub-micron resolution could help unveil functions of living organisms, and facilitate disease/cancer diagnosis, new drug development, etc. Such an imaging modality is one of the key technologies to ...
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    6. Feature Of The Week 10/21/12: Cell Death Detection by Quantitative Three-Dimensional Single-Cell Tomography

      Feature Of The Week 10/21/12: Cell Death Detection by Quantitative Three-Dimensional Single-Cell Tomography
      ...the collaboration between Professor Sheng-Lung Huang’s team at National Taiwan University (NTU) and Professor Jeng-Wei Tjiu’s team at the NTU Hospital, a homemade UR-OCT system was developed to image single-cell basal ce...
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    7. Cell death detection by quantitative three-dimensional single-cell tomography

      Cell death detection by quantitative three-dimensional single-cell tomography
      Ultrahigh-resolution optical coherence tomography (UR-OCT) has been used for the first time to our knowledge to study single-cell basal cell carcinoma (BCC) in vitro. This noninvasive, in situ, label-free technique with deep imaging depth enables three-dimensional analysis of scattering properties of single cells with cellular spatial resolution. From three-dimensional UR-OCT imaging, live and dead BCC cells can be easily identified based on morphological observation. We developed a novel method to ...
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  2. About Jeng-wei Tjiu

    Jeng-wei Tjiu

    Jengwei Tjiu is a clinical assistant professor of dermatology, National Taiwan University, Taiwan. He is now a visiting clinical assistant professor of dermatology, Harvard Medical School and doing his sabbatical research at the Wellman Center for Photomedicine, Massachusetts General Hospital. Dr. Tjiu is also a board certified dermatologist and received his M.D. and Ph.D. degree from National Taiwan University in 2000 and 2008, respectively.