Non-invasive Observation of Human Tissue Samples with Full Field Optical Coherence Tomography
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  • 英文篇名:Non-invasive Observation of Human Tissue Samples with Full Field Optical Coherence Tomography
  • 作者:MU ; Ning ; GAO ; Wanrong ; ZHOU ; Yawen
  • 英文作者:MU Ning;GAO Wanrong;ZHOU Yawen;Department of Optical Engineering, Nanjing University of Science and Technology;
  • 英文关键词:En face images;;Optical sectioning imaging;;Full field optical coherence tomography(FFOCT);;Tissue microstructures
  • 中文刊名:Chinese Journal of Electronics
  • 英文刊名:电子学报(英文)
  • 机构:Department of Optical Engineering, Nanjing University of Science and Technology;
  • 出版日期:2019-09-09
  • 出版单位:Chinese Journal of Electronics
  • 年:2019
  • 期:05
  • 基金:supported by the National Natural Science Foundation of China(No.61275198,No.60978069);; the Key Special Projects of “Major Scientific Instruments and Equipment Development” of the National Key Research and Development Plan,Ministry of Science and Technology,P.R.China(No.2017YFF0107100)
  • 语种:英文;
  • 页:103-108
  • 页数:6
  • CN:10-1284/TN
  • ISSN:1022-4653
  • 分类号:R318;TP391.41
摘要
In this work, we report on non-invasive observation of human esophagus, liver, and uterus samples with Full field optical coherence tomography(FFOCT).ln imaging process, fresh human samples were fixed in formalin immediately after excision and then imaged directly without staining and cutting the samples into a serial of thin slices. Tissue microstructures of each type of normal or cancerous tissue as well as their changes with the increase of the depth beneath tissue surface can be identified in the depth-resolved images. The results demonstrate the potential of applications of the en face images in clinic practice.
        In this work, we report on non-invasive observation of human esophagus, liver, and uterus samples with Full field optical coherence tomography(FFOCT).ln imaging process, fresh human samples were fixed in formalin immediately after excision and then imaged directly without staining and cutting the samples into a serial of thin slices. Tissue microstructures of each type of normal or cancerous tissue as well as their changes with the increase of the depth beneath tissue surface can be identified in the depth-resolved images. The results demonstrate the potential of applications of the en face images in clinic practice.
引文
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