Impedance-optical Dual-modal Sensor and Image Reconstruction for Cell Spheroids Imaging

Zhe Liu, Xiaozhou Kang, Pierre 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728168012
ISBN (Print)978-1-7281-6802-9
Publication statusPublished - 9 Dec 2020
Event2020 IEEE Sensors, SENSORS 2020 - Virtual, Rotterdam, Netherlands
Duration: 25 Oct 202028 Oct 2020

Publication series

NameProceedings of IEEE Sensors
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229


Conference2020 IEEE Sensors, SENSORS 2020
CityVirtual, Rotterdam


  • cell spheroids imaging
  • dual-modality sensor
  • image reconstruction
  • structural information


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