Design of dual-mode detection system for cellular imaging and electrical measurements
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1.School of Electronic Science and Engineering, Nanjing University, Nanjing 210033, China; 2.Nanjing University (Zhenjiang) Life and Health Industry Research Institute, Zhenjiang 212009,China; 3.The First Affiliated Hospital of the Army Medical University, Chongqing 400038,China

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TN98

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    Abstract:

    The morphological and electrophysiological characteristics of cells are a key focus in life science research. However, traditional single-modal detection systems, which can only measure a single parameter, struggle to fully reveal the complex physiological responses of cells. Multi-modal detection technology, which has the capability to simultaneously measure multiple parameters, is gaining attention. Yet, existing systems face challenges in balancing multi-modality, large field of view, and high resolution, while also finding it difficult to achieve real-time detection. To address these issues, this study developed a novel dual-modal imaging and electrical monitoring technology. Through an innovatively designed imaging-electrical dual-modal chip, it enables real-time imaging and electrical signal detection of cells. The specific technology includes the design of a dual-modal imaging-electrical chip that integrates lensless microscopy imaging chips with microelectrode arrays through “heterogeneous packaging,” with the chip’s field of view covering more than 90% of the chip area. Additionally, a detection system was constructed, integrating an imaging control system based on field-programmable gate arrays and a multifunctional electrical signal processing system. Experimental validation showed that this system effectively monitors co-cultures of cortical neurons from C57 mouse embryos and glioma GL261 cells, demonstrating good real-time performance and comprehensive detection capabilities. This technology provides an innovative solution for comprehensive physiological monitoring of cells and holds promising potential for application in life science research and clinical practice.

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  • Received:
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  • Online: October 21,2025
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