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The knowledge-based image analysis for nucleus identification of hearing neurons in rat's brain slices

机译:基于知识的图像分析在大鼠脑片听神经元核识别中的应用

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In this study, a knowledge-based image analysis is developed for optical microscopic image analysis of fos-stained nuclei in rat's brain slices. It includes an automatic nucleus identification system that integrates a prior knowledge of experienced physiologist used in manual measurement. Three factors such as brightness, smoothness, and focusness are represented by logistic functions. The fuzzy analysis is then applied for nucleus identification. From the results, it is demonstrated that the proposed system is very useful in tissue image of rat's brain.
机译:在这项研究中,开发了一种基于知识的图像分析技术,用于对大鼠脑片中裂痕状核的光学显微镜图像进行分析。它包括一个自动核识别系统,该系统整合了用于手动测量的经验丰富的生理学家的先验知识。逻辑函数表示亮度,平滑度和聚焦度等三个因素。然后将模糊分析应用于核识别。结果表明,该系统在大鼠脑组织图像中非常有用。

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