Doohwan Jung, Jong Seok Park, Gregory V. Junek, S. Grijalva, Sagar R. Kumashi, Adam Wang, Sensen Li, H. Cho, Hua Wang
{"title":"具有1568像素并行记录和4点阻抗传感的21952像素多模态CMOS蜂窝传感器阵列","authors":"Doohwan Jung, Jong Seok Park, Gregory V. Junek, S. Grijalva, Sagar R. Kumashi, Adam Wang, Sensen Li, H. Cho, Hua Wang","doi":"10.23919/VLSIC.2019.8778043","DOIUrl":null,"url":null,"abstract":"This paper presents a fully integrated CMOS multi-modal cellular sensor/stimulator array with 21952 multi-modal pixels, 1568 simultaneous parallel readout channels, 16 μm×16 μm pixel pitch for single cell resolution, and 3.6 mm×1.6 mm tissue-level field-of-view (FoV), achieving high-resolution multi-parametric cellular potential/impedance/optical imaging for holistic cellular characterization and cell-based assays. Moreover, the array system reports the first on-chip true 4-point impedance sensing scheme with 16 parallel impedance sensing channels, which enables precise cellular impedance measurements with aggressively scaled electrodes and large electrode-electrolyte interfacial impedance. The chip also supports concurrent 16-channel 5-bit reconfigurable current-mode cell stimulation. The chip is implemented in a 130 nm low-cost standard CMOS process. Extracellular potentials (700 μV-1.5 mV) from on-chip cultured neonatal rat ventricular myocytes (NRVMs) are successfully measured. With on-chip cultured cardiac fibroblasts, full-chip high-resolution optical images and 4-point impedance mapping precisely capture cell distribution, growth, proliferation, and surface adhesion.","PeriodicalId":6707,"journal":{"name":"2019 Symposium on VLSI Circuits","volume":"28 1","pages":"C62-C63"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A 21952-Pixel Multi-Modal CMOS Cellular Sensor Array with 1568-Pixel Parallel Recording and 4-Point Impedance Sensing\",\"authors\":\"Doohwan Jung, Jong Seok Park, Gregory V. Junek, S. Grijalva, Sagar R. Kumashi, Adam Wang, Sensen Li, H. Cho, Hua Wang\",\"doi\":\"10.23919/VLSIC.2019.8778043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fully integrated CMOS multi-modal cellular sensor/stimulator array with 21952 multi-modal pixels, 1568 simultaneous parallel readout channels, 16 μm×16 μm pixel pitch for single cell resolution, and 3.6 mm×1.6 mm tissue-level field-of-view (FoV), achieving high-resolution multi-parametric cellular potential/impedance/optical imaging for holistic cellular characterization and cell-based assays. Moreover, the array system reports the first on-chip true 4-point impedance sensing scheme with 16 parallel impedance sensing channels, which enables precise cellular impedance measurements with aggressively scaled electrodes and large electrode-electrolyte interfacial impedance. The chip also supports concurrent 16-channel 5-bit reconfigurable current-mode cell stimulation. The chip is implemented in a 130 nm low-cost standard CMOS process. Extracellular potentials (700 μV-1.5 mV) from on-chip cultured neonatal rat ventricular myocytes (NRVMs) are successfully measured. With on-chip cultured cardiac fibroblasts, full-chip high-resolution optical images and 4-point impedance mapping precisely capture cell distribution, growth, proliferation, and surface adhesion.\",\"PeriodicalId\":6707,\"journal\":{\"name\":\"2019 Symposium on VLSI Circuits\",\"volume\":\"28 1\",\"pages\":\"C62-C63\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Symposium on VLSI Circuits\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/VLSIC.2019.8778043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSIC.2019.8778043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 21952-Pixel Multi-Modal CMOS Cellular Sensor Array with 1568-Pixel Parallel Recording and 4-Point Impedance Sensing
This paper presents a fully integrated CMOS multi-modal cellular sensor/stimulator array with 21952 multi-modal pixels, 1568 simultaneous parallel readout channels, 16 μm×16 μm pixel pitch for single cell resolution, and 3.6 mm×1.6 mm tissue-level field-of-view (FoV), achieving high-resolution multi-parametric cellular potential/impedance/optical imaging for holistic cellular characterization and cell-based assays. Moreover, the array system reports the first on-chip true 4-point impedance sensing scheme with 16 parallel impedance sensing channels, which enables precise cellular impedance measurements with aggressively scaled electrodes and large electrode-electrolyte interfacial impedance. The chip also supports concurrent 16-channel 5-bit reconfigurable current-mode cell stimulation. The chip is implemented in a 130 nm low-cost standard CMOS process. Extracellular potentials (700 μV-1.5 mV) from on-chip cultured neonatal rat ventricular myocytes (NRVMs) are successfully measured. With on-chip cultured cardiac fibroblasts, full-chip high-resolution optical images and 4-point impedance mapping precisely capture cell distribution, growth, proliferation, and surface adhesion.