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图像的二进制处理：Hydra触角中球形成响应的模式识别需要基于CCD相机拍摄的原始Hydra图像的二进制图像。对于Hydra图像的二值化处理，提出了两种方法。其中一种是使用Sobel滤波器提取Hydra的轮廓线。对Hydra进行二值化处理的阈值确定为等值线最长的层次。另一种方法使用模仿人类视觉系统的神经网络。由于后者的计算时间比前者短，所以在Hydra光照条件较好的情况下，我们采用后者。但在光照条件不太好的情况下，由于前者在Hydra图像二值化处理中的优良特性，我们采用了前者.触角球形成响应的特征提取：我们使用诸如面积、轮廓线长度、圆度和Hydra的分形维数等特征， ...更多信息 识别出触须的球形反应。用面积、轮廓线长度、圆度和分形维数对成球反应的识别率分别为64.5%、87.7%、93.0%和86.3%。结合这些特征和另一个特征，触角的长度，将识别率提高到93.2%。自动更换腔室：我们使用孔扫描仪在显微镜下更换腔室。扫描仪由计算机通过RS232C进行控制。此外，从覆盖整个腔室的具有680 X 480像素的图像中提取具有320 X 240像素的图像。320x240像素的图像总是在中心包括九头蛇。因此，即使九头蛇在房间的某个地方移动，也可以通过320x240像素的图像跟踪九头蛇。4.振动刺激增强触手的成球反应：振动刺激增强触手的成球反应。振动刺激的频率在27 Hz至31 Hz的范围内。少