Zhong Bowen, Liao Zhan, Hao Xiaopeng, Hu Junjie, Sun Lining
The College of Mechanical and Electrical Engineering, Soochow University, Suzhou 215000, China.
The College of Mechanical and Electrical Engineering, Soochow University, Suzhou 215000, China.
Micron. 2023 Dec;175:103536. doi: 10.1016/j.micron.2023.103536. Epub 2023 Sep 9.
Automated microscope systems have played an important role in the screening of numerous diseases. However, it is a very time-consuming process to continuously acquire images under the high magnification objective lens. This paper proposes a dynamic parallel image acquisition method, which can greatly improve image acquisition speed. Due to the relative motion between the x-y stage and the camera, some of the captured images have motion blur To this end, we also designed a motor variable speed motion curve to ensure the quality of the collected images. The experimental results show that the traditional image scanning mode needs 47.3 ms to obtain continuous microscopic images, while the dynamic parallel image acquisition method only needs 25.4 ms, which improves the acquisition speed without affecting the clarity of the acquired images.
自动化显微镜系统在众多疾病的筛查中发挥了重要作用。然而，在高倍物镜下持续采集图像是一个非常耗时的过程。本文提出了一种动态并行图像采集方法，该方法可以大大提高图像采集速度。由于xy平台和相机之间的相对运动，一些捕获的图像存在运动模糊。为此，我们还设计了一种电机变速运动曲线，以确保采集图像的质量。实验结果表明，传统的图像扫描模式获取连续微观图像需要47.3毫秒，而动态并行图像采集方法仅需25.4毫秒，在不影响采集图像清晰度的情况下提高了采集速度。
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