Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143867
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dc.contributor.authorYu, Xiaojunen_US
dc.contributor.authorDing, Qianshanen_US
dc.contributor.authorHu, Chien_US
dc.contributor.authorMu, Ganggangen_US
dc.contributor.authorDeng, Yunchaoen_US
dc.contributor.authorLuo, Yuemeien_US
dc.contributor.authorYuan, Zhaohuien_US
dc.contributor.authorYu, Honggangen_US
dc.contributor.authorLiu, Linboen_US
dc.date.accessioned2020-09-28T05:59:16Z-
dc.date.available2020-09-28T05:59:16Z-
dc.date.issued2018-
dc.identifier.citationYu, X., Ding, Q., Hu, C., Mu, G., Deng, Y., Luo, Y., . . . Liu, L. (2019). Evaluating micro-optical coherence tomography as a feasible imaging tool for pancreatic disease diagnosis. IEEE Journal of Selected Topics in Quantum Electronics, 25(1), 6800108-. doi:10.1109/JSTQE.2018.2827662en_US
dc.identifier.issn1077-260Xen_US
dc.identifier.urihttps://hdl.handle.net/10356/143867-
dc.description.abstractPancreatic cancer is one of the leading causes of cancer mortality worldwide due to the lack of reliable tools for early diagnosis of this cancer. In this study, we evaluated the feasibility of micro-optical coherence tomography (μOCT) as an imaging tool for the diagnosis of pancreatic cancers. Specifically, we constructed a μOCT device that achieves a resolution of 1.67 ± 0.01 μm and 1.79 ± 0.01 μm in axial and lateral directions, respectively, and acquired three-dimensional μOCT images of mouse, rat, and human pancreatic specimens ex vivo. We compared the results of μOCT with those of the corresponding histology. In μOCT images of normal pancreatic specimens, the detailed cellular and subcellular-level pancreatic microstructures, e.g., the islet of Langerhans (IL), IL cell nuclei, blood vessels, and serous acini, could be clearly resolved in different cases. To the best of our knowledge, this study is the first to demonstrate that the cellular and subcellular structures of pancreatic tissues were identified using OCT. More importantly, we showed that these normal cellular-level structures were lost in μOCT images of cancerous specimens, demonstrating the feasibility of differentiating malignant lesions from normal tissues using μOCT. Moving forward, the development of an intraoperative imaging device may realize optical biopsies in vivo or real-time cellular-resolution examination of specimens from needle aspiration biopsies.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.description.sponsorshipNational Medical Research Council (NMRC)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Journal of Selected Topics in Quantum Electronicsen_US
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/JSTQE.2018.2827662.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleEvaluating micro-optical coherence tomography as a feasible imaging tool for pancreatic disease diagnosisen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/JSTQE.2018.2827662-
dc.description.versionAccepted versionen_US
dc.identifier.issue1en_US
dc.identifier.volume25en_US
dc.subject.keywordsOptical Coherence Tomographyen_US
dc.subject.keywordsPancreatic Imagingen_US
dc.description.acknowledgementThis work was supported in part by the National Natural Science Foundation of China under Grant 61705184, the Fundamental Research Funds for the Central Universities (G2018KY0308), in part by the National Research Foundation of Singapore (NRF-CRP13-2014-05), in part by the Ministry of Education of Singapore (MOE2013-T2-2-107), in part by the National Medical Research Council of Singapore (NMRC/CBRG/0036/2013), and in part by the NTU-AIT-MUV Program in Advanced Biomedical Imaging (NAM/15005).en_US
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