Advanced Characterisation of a Sensor System for Droplet-Based
Microfluidics
- Max Bartunik ,
- Marco Fleischer ,
- Werner Haselmayr ,
- Jens Kirchner
Abstract
Droplet-based microfluidics show a large potential for lab-on-chip
applications and new data transmission scenarios. Microfluidic chips
contain channels in the submillimeter range allowing for flow of
droplets. In a previous contribution, a new sensor design for droplet
size and colour detection, consisting of an infrared and a colour
sensor, was presented and a first proof-of-concept was shown. In this
work, an in-depth analysis of both concepts is presented. In particular,
we show that a high precision can be achieved when using the sensor to
measure droplet sizes while using video processing software as
reference. Furthermore, a colour alphabet consisting of 126 individual
values is transmitted and detected using a machine learning model. The
high specificity of achieved colour measurement allows both for colour
coded data transmission scenarios and the analysis of colour reagents in
lab-on-chip applications.