Vahabi Fateme, Kermani Saeed, Vahabi Zahra, Pestechian Nader
Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Department of Biomedical Engineering, School of Engineering, University of Isfahan, Isfahan, Iran.
J Med Signals Sens. 2023 May 29;13(2):160-164. doi: 10.4103/jmss.jmss_125_21. eCollection 2023 Apr-Jun.
Automating the camera Lucida method which is a standard way for focusing microscopic images is a very challenging study for many scientists. Hence, actually combining hardware and software to automate microscopic imaging systems is one of the most important issues in the field of medicine as well. This idea reduces scanning time and increases the accuracy of user's results in this field. Closed-loop control system has been designed and implemented in the hardware part to move the stage in predefined limits of 15°. This system produces 50 consecutive images from parasites at the mentioned spatial distances in two directions of the z-axis. Then, by introducing our proposed relational software with combining images, a high-contrast image can be presented. This colored image is focused on many subparts of the sample even with different ruggedness. After implementing the closed-loop controller, stages movement was repeated eight times with an average step displacement of 20 μm which were measured in two directions of the z-axis by a digital micrometer. On average, the movement's error was 1 μm. In software, the edge intensity energy index has been calculated for image quality evaluation. The standard camera Lucida method has been simulated with acceptable results based on experts' opinions and also mean squared error parameters. Mechanical movement in stage has an accuracy of about 95% which will meet the expectations of laboratory user. Although output-focused colored images from our combining software can be replaced by the traditional fully accepted Camera Lucida method.
自动化明箱投影法（这是聚焦显微图像的一种标准方法）对许多科学家来说是一项极具挑战性的研究。因此，实际上将硬件和软件结合起来以实现显微成像系统的自动化，这也是医学领域最重要的问题之一。这一想法减少了扫描时间，并提高了该领域用户结果的准确性。在硬件部分设计并实现了闭环控制系统，以使载物台在15°的预定义范围内移动。该系统在z轴的两个方向上，以所述空间距离从寄生虫生成50张连续图像。然后，通过引入我们提出的用于图像合成的相关软件，可以呈现出高对比度图像。即使样本的不同部分有不同的粗糙度，这一彩色图像也能聚焦在样本的许多子部分上。在实施闭环控制器后，载物台的移动重复了八次，平均步距位移为20μm，通过数字测微计在z轴的两个方向上进行测量。平均而言，移动误差为1μm。在软件方面，已计算边缘强度能量指数用于图像质量评估。基于专家意见以及均方误差参数，对标准明箱投影法进行了模拟，结果可接受。载物台的机械移动精度约为95%，这将满足实验室用户的期望。尽管我们合成软件输出的聚焦彩色图像可以被传统的、完全被认可的明箱投影法所替代。
