Automatic measurement system of growth factor using bioassay of Hydra

利用Hydra生物测定的生长因子自动测定系统

• 批准号: 09555123
• 负责人: SASAKI Kazuo
• 金额: $ 2.11万
• 依托单位: Toyama University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1999
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09555123/
• 关键词: Hydra; bioassay; growth factor; image processing; 細胞成長因子

1. Binary processing of Hydra images : Pattern recognition of ball formation response in Hydra tentacles requires binary images based on original Hydra images taken by a CCD camera. For binary processing of Hydra image, we proposed two methods. One of them uses a Sobel filter to extract a contour line of Hydra. A threshold for binary processing of Hydra is determined as the level which has the longest contour line. The other method uses a neural network which mimics a human visual system. Since the calculation time was shorter in the latter one than in the former one, we used the latter one when Hydra has a good condition in illumination. In the case in which the condition of illumination was not so good, however, we used the former because of excellent characteristics in binary processing of Hydra images.2. Feature extraction for ball formation response of tentacles : We used features such as an area, a length of contour line, a degree of roundness and a fractal dimension of Hydra to … More recognize the ball formation response of tentacles. The recognition ratio of the ball formation response using the area, the length of contour line, the degree of roundness and the fractal dimension was 64.5%, 87.7%, 93.0% and 86.3%, respectively. A combination of these features and an other feature, a length of the tentacles, increased the recognition ratio to 93.2%.3. Automatic exchange of chambers : We used a well scanner to exchange a chamber under a microscope. The scanner was controlled by a computer through RS232C. In addition, an image with 320x240 pixel was extracted from an image with 680x480 pixel which covers a whole chamber. The image with 320x240 pixel always included a Hydra in the center. Thus, it was possible to track the hydra through the image with 320x240 pixel even though the Hydra moved somewhere in the chamber.4. Augmentation of ball formation response of tentacles by vibration stimuli : The ball formation response of tentacles was augmented by vibration stimuli. The frequency of the vibration stimuli was in the range of 27 Hz to 31 Hz. Less

1. Hydra 图像的二值处理：Hydra 触手中球形成响应的模式识别需要基于 CCD 相机拍摄的原始 Hydra 图像的二值图像。对于 Hydra 图像的二值处理，我们提出了两种方法，其中一种使用 Sobel 滤波器。提取 Hydra 的轮廓线。将 Hydra 的二进制处理的阈值确定为具有最长轮廓线的级别。另一种方法使用模仿人类视觉系统的神经网络，因为后者的计算时间较短。一个比在前者是在Hydra光照条件较好的情况下使用后者，而在Hydra图像的二值化处理中由于其优良的特性而在光照条件不太好的情况下使用前者。 2．触手成球响应的特征提取：我们使用Hydra的面积、轮廓线长度、圆度和分形维数等特征来识别触手的成球响应，即球的识别率。使用形成响应面积、轮廓线长度、圆度和分形维数分别为 64.5%、87.7%、93.0% 和 86.3%，这些特征与另一个特征（触手的长度）的组合增加了识别度。比率达到93.2％。3.自动更换腔室：我们使用井扫描仪来更换显微镜下的腔室，扫描仪通过RS232C由计算机控制。此外，从覆盖整个房间的 680x480 像素图像中提取了 320x240 像素的图像。320x240 像素的图像始终在中心包含九头蛇，因此，甚至可以通过 320x240 像素的图像来跟踪九头蛇。尽管九头蛇在房间的某个地方移动了。4。通过振动刺激增强触手的球形成反应：球振动刺激的频率在 27 Hz 至 31 Hz 范围内，增强了触手的形成反应。