Drug resistance classification of cancer cells based on digital holographic flow cytometry and machine learning

Lu Xin; Wen Xiao; Leiping Che; Jin Jin Liu; Lisa Miccio; Vittorio Bianco; Pasquale Memmolo; Pietro Ferraro; Xiaoping Li; Feng Pan

Drug resistance classification of cancer cells based on digital holographic flow cytometry and machine learning

Lu Xin
, Wen Xiao
, Leiping Che
, Jin Jin Liu
, Lisa Miccio
, Vittorio Bianco
, Pasquale Memmolo
, Pietro Ferraro
, Xiaoping Li
, Feng Pan

仪器科学与光电工程学院

Beihang University
Peking University
National Research Council of Italy

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

In this work, we use digital holographic (DH) microscope coupled to a label-free and high-throughput microfluidic cytometer to automatically detect the drug resistance of Epithelial Ovarian Cancer (EOC) cells reinforced by machine learning.

源语言	英语
文章编号	JW1A.5
期刊	Optics InfoBase Conference Papers
出版状态	已出版 - 2021
活动	Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021 - Virtual, Online, 美国期限: 19 7月 2021 → 23 7月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{97130389da974a8daf8becc67ef1dadd,

title = "Drug resistance classification of cancer cells based on digital holographic flow cytometry and machine learning",

abstract = "In this work, we use digital holographic (DH) microscope coupled to a label-free and high-throughput microfluidic cytometer to automatically detect the drug resistance of Epithelial Ovarian Cancer (EOC) cells reinforced by machine learning.",

author = "Lu Xin and Wen Xiao and Leiping Che and Liu, \{Jin Jin\} and Lisa Miccio and Vittorio Bianco and Pasquale Memmolo and Pietro Ferraro and Xiaoping Li and Feng Pan",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021 ; Conference date: 19-07-2021 Through 23-07-2021",

year = "2021",

language = "英语",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Drug resistance classification of cancer cells based on digital holographic flow cytometry and machine learning

AU - Xin, Lu

AU - Xiao, Wen

AU - Che, Leiping

AU - Liu, Jin Jin

AU - Miccio, Lisa

AU - Bianco, Vittorio

AU - Memmolo, Pasquale

AU - Ferraro, Pietro

AU - Li, Xiaoping

AU - Pan, Feng

PY - 2021

Y1 - 2021

N2 - In this work, we use digital holographic (DH) microscope coupled to a label-free and high-throughput microfluidic cytometer to automatically detect the drug resistance of Epithelial Ovarian Cancer (EOC) cells reinforced by machine learning.

AB - In this work, we use digital holographic (DH) microscope coupled to a label-free and high-throughput microfluidic cytometer to automatically detect the drug resistance of Epithelial Ovarian Cancer (EOC) cells reinforced by machine learning.

UR - https://www.scopus.com/pages/publications/85119379394

M3 - 会议文章

AN - SCOPUS:85119379394

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW1A.5

T2 - Applied Industrial Spectroscopy, AIS 2021 - Part of Optical Sensors and Sensing Congress 2021

Y2 - 19 July 2021 through 23 July 2021

ER -

Drug resistance classification of cancer cells based on digital holographic flow cytometry and machine learning

摘要

联合国可持续发展目标

其它文件与链接

指纹

引用此