Microfluidic droplet coalescence study <italic style="font-style: italic">via</italic> microscopic image recognition

ZHANG Hao; WANG Kai

doi:10.11949/0438-1157.20190738

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Microfluidic droplet coalescence study via microscopic image recognition

Fluid dynamics and transport phenomena | 更新时间：2026-07-24

- Microfluidic droplet coalescence study via microscopic image recognition
- CIESC Journal Vol. 71, Issue 2, Pages: 526-534(2020)
- 作者机构：
  
  清华大学化学工程系，化学工程联合国家重点实验室，北京 100084
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20190738
  CLC： TQ 025.5
- Received：01 July 2019，
  
  Revised：2019-12-04，
  
  Online First：14 August 2020，
  
  Published：05 February 2020
- 稿件说明：
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张皓, 王凯. 基于显微图像识别的微流控液滴聚并研究[J]. 化工学报, 2020, 71(2): 526-534

ZHANG Hao, WANG Kai. Microfluidic droplet coalescence study via microscopic image recognition[J]. CIESC Journal, 2020, 71(2): 526-534
张皓, 王凯. 基于显微图像识别的微流控液滴聚并研究[J]. 化工学报, 2020, 71(2): 526-534 DOI： 10.11949/0438-1157.20190738.

ZHANG Hao, WANG Kai. Microfluidic droplet coalescence study via microscopic image recognition[J]. CIESC Journal, 2020, 71(2): 526-534 DOI： 10.11949/0438-1157.20190738.

摘要

微流控技术作为操控微米尺度液滴的重要手段，受到普遍关注。显微摄像是微流控过程的主要研究方法，以往主要通过人工观察识别的方式获取关键参数，工作效率低、数据量小，限制了针对复杂微流控过程的深入认识。提出了一种基于MATLAB图像处理程序的微流控液滴聚并研究方法，通过背景提取、背景扣除、掩膜二值化、噪声消除、区域填充、形态开启、边界物体移除、干扰滤除等过程，实现六边形扩大通道内液滴聚并显微实验视频的数值化，进一步通过识别液滴投影面积、质心、偏心率等信息，研究了液滴运动速度和液膜的排空时间等微流控聚并关键参数的变化规律。

Abstract

Microfluidic technology

as an important approach of manipulating micrometer-scale droplets

has received widespread attention. Microscope recording is the main research method of micro-fluidic process. In the past

key parameters were mainly obtained through manual observation and identification. The low efficiency and small amount of data limited the in-depth understanding of complex micro-fluidic processes. This paper proposes a method to studying microfluidic droplet coalescence based on MATLAB image processing program with background extraction

background subtraction

mask binarization

noise elimination

region filling

shape opening

boundary object removal

interference filtering and

etc

which digitized the microscopic videos experimentally collected in a hexagonal microchannel. Furthermore

by identifying the droplet projection area

centroid

eccentricity and other information

the key parameters of microfluidic processes

including droplet speed and liquid film drainage time are also studied.

关键词

Keywords

references

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Microfluidic droplet coalescence study via microscopic image recognition

DOI：10.11949/0438-1157.20190738

摘要

Abstract

关键词

Keywords

references