首页> 外文期刊>Applied Physics Letters >Imaging and visualization of the polarization state of the probing beam in polarization-sensitive optical coherence tomography
【24h】

Imaging and visualization of the polarization state of the probing beam in polarization-sensitive optical coherence tomography

机译:偏振敏感光学相干断层扫描中探测光束偏振状态的成像和可视化

获取原文
获取原文并翻译 | 示例
       

摘要

We propose a simple and efficient method of color-encoded Stokes parameters to visualize the polarization states for polarization-sensitive optical coherence tomography (PS-OCT) of biological tissue. In this method, polarization states of the probing light are detected and described in the Stokes domain. Three primary colors of red, green, and blue are used to code Stokes parameters of Q, U, and V, respectively, which can be used to represent and visualize each unique polarization state. A strategy that uses the polarization state as the PS-OCT imaging parameter is first introduced to obtain high contrast images of the birefringent samples. Then, color-based automatic segmentation of birefringent components from 3D scanned tissue volume is proposed to isolate the network of the 3D nerve bundles in a mouse brain without cutting the brain into slices. Experimental validation and demonstrations are given by imaging ex vivo mouse tail and brain tissues to show the usefulness of proposed polarization state imaging and segmentation methods. Published by AIP Publishing.
机译:我们提出了一种简单有效的颜色编码斯托克斯参数的方法,以可视化生物组织的偏振敏感光学相干断层扫描(PS-OCT)的偏振态。在这种方法中,探测光的偏振态在斯托克斯域中被检测和描述。红色,绿色和蓝色的三种原色分别用于编码Stokes参数Q,U和V,这些参数可用于表示和可视化每个唯一的偏振状态。首先介绍一种使用偏振态作为PS-OCT成像参数的策略,以获得双折射样品的高对比度图像。然后,提出了从3D扫描的组织体积中基于颜色的双折射组件自动分割方法,以隔离老鼠大脑中3D神经束的网络,而无需将大脑切成薄片。通过对离体小鼠尾巴和脑组织成像进行实验验证和演示,以表明所提出的偏振态成像和分割方法的有用性。由AIP Publishing发布。

著录项

  • 来源
    《Applied Physics Letters》 |2018年第23期|231101.1-231101.5|共5页
  • 作者单位

    Univ Washington, Dept Bioengn, 3720 15th Ave NE, Seattle, WA 98195 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:09:26

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号