Impedance-Optical Dual-Modal Sensor and Image Reconstruction Framework for Cell Imaging

Zhe Liu, Xiaozhou Kang, Pierre Olivier Bagnaninchi, Yunjie Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The low spatial resolution of Electrical Impedance Tomography (EIT) is one of the limiting factors to perform quantitative analysis of the properties and behaviors of imaging targets in biomedical applications. In this work, we present an impedance-optical dual-modal sensor for 3D cell culture imaging and propose a corresponding EIT image reconstruction framework named Image-guide Framework (IGF) for high-resolution cell culture imaging. IGF extracts and incorporates the structural information of imaging objects from the auxiliary optical imaging modality into EIT image reconstruction through group sparsity regularization. We validate the performance of the dual-modal sensor and IGF via MCF-7 cell spheroids phantom experiments. The results suggest the combination of the proposed sensor and IGF could lead to significantly improved image quality. This implies the potential of a new structure-function joint imaging technique for tissue engineering.
Original languageEnglish
Title of host publication2020 IEEE Sensors
ISBN (Electronic)978-1-7281-6801-2
ISBN (Print)978-1-7281-6802-9
Publication statusE-pub ahead of print - 9 Dec 2020
EventIEEE Sensors 2020 - Virtual conference
Duration: 25 Oct 202028 Oct 2020

Publication series

NameIEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


ConferenceIEEE Sensors 2020
Internet address


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