节点文献

Non-invasive Observation of Human Tissue Samples with Full Field Optical Coherence Tomography

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 MU NingGAO WanrongZHOU Yawen

【Author】 MU Ning;GAO Wanrong;ZHOU Yawen;Department of Optical Engineering, Nanjing University of Science and Technology;

【通讯作者】 GAO Wanrong;

【机构】 Department of Optical Engineering, Nanjing University of Science and Technology

【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.

【Abstract】 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.

【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)
  • 【文献出处】 Chinese Journal of Electronics ,电子学报(英文) , 编辑部邮箱 ,2019年05期
  • 【分类号】R318;TP391.41
  • 【下载频次】5
节点文献中: 

本文链接的文献网络图示:

本文的引文网络