• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Biophotonics and immune responses X >Improving the signal analysis for in vivo photoacoustic flow cytometry
【24h】

Improving the signal analysis for in vivo photoacoustic flow cytometry

机译：改善体内光声流式细胞仪的信号分析

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

At early stage of cancer, a small number of circulating tumor cells (CTCs) appear in the blood circulation. Thus, early detection of malignant circulating tumor cells has great significance for timely treatment to reduce the cancer death rate. We have developed an in vivo photoacoustic flow cytometry (PAFC) to monitor the metastatic process of CTCs and record the signals from target cells. Information of target cells which is helpful to the early therapy would be obtained through analyzing and processing the signals. The raw signal detected from target cells often contains some noise caused by electronic devices, such as background noise and thermal noise. We choose the Wavelet denoising method to effectively distinguish the target signal from background noise. Processing in time domain and frequency domain would be combined to analyze the signal after denoising. This algorithm contains time domain filter and frequency transformation. The frequency spectrum image of the signal contains distinctive features that can be used to analyze the property of target cells or particles. The PAFC technique can detect signals from circulating tumor cells or other particles. The processing methods have a great potential for analyzing signals accurately and rapidly.
机译：在癌症的早期阶段，血液循环中会出现少量循环中的肿瘤细胞（CTC）。因此，早期发现恶性循环肿瘤细胞对于及时治疗以降低癌症死亡率具有重要意义。我们已经开发出一种体内光声流式细胞术（PAFC），以监测CTC的转移过程并记录来自靶细胞的信号。通过分析和处理信号可获得有助于早期治疗的靶细胞信息。从目标细胞检测到的原始信号通常包含一些由电子设备引起的噪声，例如背景噪声和热噪声。我们选择小波去噪方法，以有效地区分目标信号与背景噪声。时域和频域的处理将被组合以对去噪后的信号进行分析。该算法包含时域滤波器和频率变换。信号的频谱图像包含独特的功能，可用于分析目标细胞或粒子的特性。 PAFC技术可以检测来自循环肿瘤细胞或其他颗粒的信号。该处理方法具有准确，快速分析信号的巨大潜力。

著录项

  • 来源
    《Biophotonics and immune responses X》|2015年|932413.1-932413.6|共6页
  • 会议地点 San Francisco CA(US)
  • 作者

    Zhenyu Niu; Ping Yang; Dan Wei; Shuo Tang; Xunbin Wei;

  • 作者单位

    Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China;

    Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China;

    Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China;

    Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, British Columbia, V6T 1Z4, Canada;

    Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, Vancouver, British Columbia, V6T 1Z4, Canada;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    in vivo photoacoustic flow cytometry; circulating tumor cells; Wavelet denoising method; time domain and frequency domain analysis;

    机译：体内光声流式细胞术；循环肿瘤细胞；小波去噪方法；时域和频域分析;

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