Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications

Roland Giraud, Dorian Chapeau, Jochen Lang, Matthieu Raoux, Sylvie Renaud, Antoine Pirog

2025

Abstract

Organ-on-chip technology presents a promising platform to study complex physiological processes in a controlled environment. However organ-on-chip devices bring considerable constraints to online monitoring instrumentation. This study investigates methods for leveraging data from organ-on-chip systems designed for diabetic studies by processing recorded extracellular signals from pancreatic islets. The signal processing techniques used are designed to address the inherent constraints of microfluidics, particularly to provide online (real-time) readings and operate effectively in low Signal-to-Noise Ratio (SNR) conditions. This study assesses the performance of different algorithms using several detection approaches. Synthetic and experimental data were utilized to evaluate algorithm robustness to best account for biological variability. Among the algorithms tested, those based on frequency and time-frequency methods performed best when compared to conventional filtering and thresholding approaches, especially regarding robustness to noise and biological variability.

Paper Citation

in Harvard Style

Giraud R., Chapeau D., Lang J., Raoux M., Renaud S. and Pirog A. (2025). Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-731-3, SciTePress, pages 957-963. DOI: 10.5220/0013255700003911

in Bibtex Style

@conference{biosignals25,
author={Roland Giraud and Dorian Chapeau and Jochen Lang and Matthieu Raoux and Sylvie Renaud and Antoine Pirog},
title={Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2025},
pages={957-963},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013255700003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Comparative Study of Data Processing Techniques for Pancreatic Islets in Organ-on-Chip Applications
SN - 978-989-758-731-3
AU - Giraud R.
AU - Chapeau D.
AU - Lang J.
AU - Raoux M.
AU - Renaud S.
AU - Pirog A.
PY - 2025
SP - 957
EP - 963
DO - 10.5220/0013255700003911
PB - SciTePress