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Image-processing Technologies for High Content Analysis Software

机译:高内容分析软件的图像处理技术

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摘要

High content analysis is an idea/method for drug discovery. It processes and analyzes images of cells and tissues, quantifies the information contained in these images, and outputs useful data. These include the count, size, shape, behavior, circumference, fluorescence intensity, localization, and speed and total distance of movement of cells. For high content analysis, Yokogawa has developed original image processing technologies. These include image data platform technology, four-dimensional image processing technology containing time and space information, and image recognition technology based on machine learning. Yokogawa has also developed the CellPathfinder analysis software using these technologies. This paper describes Yokogawa's advanced image processing and analysis technologies.
机译:高含量分析是一种药物发现的想法/方法。 它处理和分析单元和组织的图像,量化这些图像中包含的信息,并输出有用的数据。 这些包括细胞的计数,尺寸,形状,行为,圆周,荧光强度,定位和速度和总距离。 对于高内容分析,横冈开发了原始的图像处理技术。 这些包括图像数据平台技术,包含时间和空间信息的四维图像处理技术,以及基于机器学习的图像识别技术。 Yokogawa还使用这些技术开发了CellPathFinder分析软件。 本文介绍了横冈的高级图像处理和分析技术。

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  • 来源
    《Yokogawa Technical Report》 |2017年第2期|共4页
  • 作者单位

    R&

    D Department Life Science Center Measurement Business Headquarters;

    R&

    D Department Life Science Center Measurement Business Headquarters;

    Quality Assurance and Customer Support Department Life Science Center Measurement Business Headquarters;

    R&

    D Department Life Science Center Measurement Business Headquarters;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 电机;
  • 关键词

  • 入库时间 2022-08-20 07:57:53

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