{"title":"用于检测癌细胞系的细胞粘附噪音分析的稳定性","authors":"Maximilian Ell, Günther Zeck","doi":"10.1515/cdbme-2023-1205","DOIUrl":null,"url":null,"abstract":"Abstract Detecting cells on substrates time-continuously without the need of optical microscopy is broad interest in biotechnological applications. We demonstrate the stability and repeatability of a method to detect cancer cells using cell adhesion noise spectroscopy across different CMOS-based microelectrode arrays. We analyze the recordings in terms of spectral power density.","PeriodicalId":10739,"journal":{"name":"Current Directions in Biomedical Engineering","volume":"120 10","pages":"16 - 18"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability of cell adhesion noise analysis for the detection of cancer cell lines\",\"authors\":\"Maximilian Ell, Günther Zeck\",\"doi\":\"10.1515/cdbme-2023-1205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Detecting cells on substrates time-continuously without the need of optical microscopy is broad interest in biotechnological applications. We demonstrate the stability and repeatability of a method to detect cancer cells using cell adhesion noise spectroscopy across different CMOS-based microelectrode arrays. We analyze the recordings in terms of spectral power density.\",\"PeriodicalId\":10739,\"journal\":{\"name\":\"Current Directions in Biomedical Engineering\",\"volume\":\"120 10\",\"pages\":\"16 - 18\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Directions in Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/cdbme-2023-1205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Directions in Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/cdbme-2023-1205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Stability of cell adhesion noise analysis for the detection of cancer cell lines
Abstract Detecting cells on substrates time-continuously without the need of optical microscopy is broad interest in biotechnological applications. We demonstrate the stability and repeatability of a method to detect cancer cells using cell adhesion noise spectroscopy across different CMOS-based microelectrode arrays. We analyze the recordings in terms of spectral power density.
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