Digital Microfluidics Datasets

Citation Author(s):
Boyi
Feng
Submitted by:
Zhen Gu
Last updated:
Thu, 04/10/2025 - 11:29
DOI:
10.21227/g22f-3b37
Data Format:
*.npz
License:
Creative Commons Attribution
37 Views
Categories:
Artificial Intelligence
Image Processing
Computer Vision
Keywords:
Digital Microfluidics
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Abstract 

Digital microfluidics are a unique technique for operation of nano-to-micro liter droplets based on electrowetting on dielectric. It has great application potential in the field on clinic diagnosis, life science and environment monitoring. Due to the fast droplet moving speed and high degree of freedom for droplet manipulation, it is urgent to develop automated and intelligent approaches for droplet monitoring and control.

Instructions: 

A dataset of droplet splitting, merging and movement on the digital microfluidic system was recorded using the platform with an integrated event camera (DAVIS346). The dataset comprises 302 samples, each represented as a 16-frame multidimensional array, resulting in a total of 4,832 data points. The dataset is divided into three subsets: 61 test samples, 211 training samples, and 30 validation samples. The distribution of samples follows an approximate 2:7:1 ratio. The microfluidic chip utilized in this study is based on the design proposed in our previous research

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