An Ensemble Model of Machine Learning Regression Techniques and Color Spaces Integrated to a Color Sensor: Application to Color-Changing Biochemical Assays (RSC Advances)
This journal article is available here: [RSC Advances]
Min Joha, Surjith Kumarana, Younseo Shina, Hyunji Chaa, Euna Oha, Kyu Hyoung Leeb, and Hyo-Jick Choia,*
aDepartment of Chemical and Materials Engineering, University of Alberta
bDepartment of Materials Science and Engineering, Yonsei University
*Corresponding author
Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making. In this study, we utilized four different regression models integrated with an RGB sensor for colorimetric analysis. Colorimetric protein concentration assays, such as the bicinchoninic acid (BCA) assay and the Bradford assay, were chosen as model studies to evaluate the performance of the ML-based color sensor. Leveraging regression models, the sensor effectively interprets and processes color data, facilitating precision color detection and analysis. Furthermore, the incorporation of diverse color spaces enhances the sensor's adaptability to various color perception models, promising precise measurement, and analysis capabilities for a range of applications.
- 20 Jan 2025: Published article.
@article{D4RA07510B,
author = "Joh, Min and Kumaran, Surjith and Shin, Younseo and Cha, Hyunji and Oh, Euna and Lee, Kyu Hyoung and Choi, Hyo-Jick",
title = "An ensemble model of machine learning regression techniques and color spaces integrated with a color sensor: application to color-changing biochemical assays",
journal = "RSC Adv.",
year = "2025",
volume = "15",
issue = "3",
pages = "1754--1765",
publisher = "The Royal Society of Chemistry",
doi = "10.1039/D4RA07510B",
url = "http://dx.doi.org/10.1039/D4RA07510B",
}This project is licensed under the CC BY-NC 3.0 license.