首页|藻细胞显微成像中微流控自动进样分段控制方法

藻细胞显微成像中微流控自动进样分段控制方法

A subsection control method of microfluidic automatic sampling in algal cell microscopic imaging

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藻细胞显微图像快速自动获取具有重要的应用价值.针对微流控-显微成像技术中样品进样效率与细胞成像质量问题,研究了基于藻细胞通过荧光检测窗口持续时间的样品平均流速检测方法,并提出基于体积流量调节的微流控自动进样分段控制方法.结果表明,进样速度在10~30 μL/min范围内,样品平均流速检测误差小于5%;分段控制实现了藻细胞显微图像的高质量自动获取,与显微镜检成像质量基本一致,且样品进样速度提升68%以上.研究结果为藻细胞显微图像高效自动获取提供了有效实用方法.
The rapid and automatic acquisition of microscopic images of algae cells has important application value.To address the issues of sample injection efficiency and cell imaging quality in microfluidic-microscopic imaging technology,a method for detecting the average flow rate of samples based on the duration of algal cells passing through the fluorescence detection window is studied,and a segmented control method of microfluidic auto-injection based on volume flow regulation is proposed.The results show that the average flow rate detection error of the sample is less than 5%when the sampling speed is within the range of 10-30 μL/min,and the segmented control realizes the automatic acquisition of high-quality microscopic images for algae cells.The quality of the microscopic images is basically consistent with that of microscopy,while the sample injection speed is increased by more than 68%.The research results provide an effective and practical method for efficient and automatic acquisition of microscopic images of algae cells.

algae cellsmicrofluidic-microscopic imagingflow rate detectionsegmented controlautomatic sampling

陈志浩、赵南京、殷高方、马明俊、董鸣、华卉、丁志超

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中国科学技术大学环境科学与光电技术学院,安徽 合肥 230026

中国科学院合肥物质科学研究院安徽光学精密机械研究所,中国科学院环境光学与技术重点实验室,安徽 合肥 230031

安徽省环境光学监测技术重点实验室,安徽 合肥 230031

藻细胞 微流控-显微成像 流速检测 分段控制 自动进样

国家自然科学基金国家自然科学基金

6187520762005001

2024

大气与环境光学学报
中国科学院安徽光学精密机械研究所

大气与环境光学学报

影响因子:0.285
ISSN:1673-6141
年,卷(期):2024.19(1)
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