@inproceedings{1835d580c5ac492d802f4732370e1c81,
title = "Label-free DNA quantification by multi-frequency impedance cytometry and machine learning analysis",
abstract = "DNA quantification plays an important role in clinical diagnosis and research. A number of DNA quantification methods have been established, such as fluorescence imaging. In this work, we demonstrate a new label-free approach for DNA recognition by using multi-frequency impedance cytometry with machine learning.",
keywords = "DNA quantification, Impedance cytometry, Label-free, Machine learning",
author = "Jianye Sui and Neeru Gandotra and Pengfei Xie and Zhongtian Lin and Curt Scharfe and Mehdi Javanmard",
note = "Publisher Copyright: {\textcopyright} 17CBMS-0001.; 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017 ; Conference date: 22-10-2017 Through 26-10-2017",
year = "2020",
language = "English (US)",
series = "21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017",
publisher = "Chemical and Biological Microsystems Society",
pages = "515--516",
booktitle = "21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017",
}