A Machine Learning‐Assisted Nanoparticle‐Printed Biochip for Real‐Time Single Cancer Cell Analysis

2020 ◽  
Vol 4 (11) ◽  
pp. 2000160
Author(s):  
Kushal Joshi ◽  
Alireza Javani ◽  
Joshua Park ◽  
Vanessa Velasco ◽  
Binzhi Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Cancer Cell ◽  
Cell Analysis ◽  
Single Cancer

scholarly journals Nanoparticle‐Printed Biochips: A Machine Learning‐Assisted Nanoparticle‐Printed Biochip for Real‐Time Single Cancer Cell Analysis (Adv. Biosys. 11/2020)

2020 ◽  
Vol 4 (11) ◽  
pp. 2070115
Author(s):  
Kushal Joshi ◽  
Alireza Javani ◽  
Joshua Park ◽  
Vanessa Velasco ◽  
Binzhi Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Cancer Cell ◽  
Cell Analysis ◽  
Single Cancer

scholarly journals iCELLigence real-time cell analysis system for examining the cytotoxicity of drugs to cancer cell lines

2017 ◽  
Vol 14 (3) ◽  
pp. 1866-1870 ◽  
Author(s):  
Leyla Türker Şener ◽  
Gürcan Albeni̇z ◽  
Bi̇rcan Di̇nç ◽  
Işil Albeni̇z
Keyword(s):  
Real Time ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Cell Analysis ◽  
Analysis System

scholarly journals All-optical targeted drug delivery and real-time detection of a single cancer cell

Nanophotonics ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 611-622
Author(s):  
Xiaole Liu ◽  
Jie Yuan ◽  
Dong Wu ◽  
Xiaobin Zou ◽  
Qing Zheng ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Real Time ◽  
Cancer Cell ◽  
Targeted Drug Delivery ◽  
Optical Method ◽  
Cell Detection ◽  
All Optical ◽  
Single Cancer ◽  
Targeted Drug ◽  
Real Time Detection

AbstractTargeted drug delivery and real-time detection both play an important role for studying the specificity of a single cancer cell and the development of anticancer drugs. However, a method that simultaneously enables safe and efficient targeted drug delivery and noninvasive, free-label cell detection is highly desirable but challenging. Here, we report an all-optical method that combines fiber optical tweezers with laser Raman microspectroscopy, which can achieve targeted drug delivery to a single cancer cell using optical manipulation in vitro quickly and accurately by a tapered fiber probe, and simultaneously record the corresponding active characteristics of the targeted cancer cell under the contact of delivered drug through a Raman spectrometer. Using the method, drug delivery and release can be flexibly controlled by turning on/off the trapping laser beam propagating in the fiber, which can avoid the complex systems and is highly autonomous and controllable. Moreover, the detection of cell activity does not require any dye calibration and processing, and it is noninvasive. In addition, for a single suspension cell, optical trapping of the cell using another fiber tip can overcome the low efficiency of targeted drug delivery and the poor stability of the Raman spectrum caused by Brownian motion of the cell. This all-optical method provides a promising approach to conduct pharmacologic studies with the reaction of cancer cell and drugs at the level of a single cell.

Real-time imaging of single cancer-cell dynamics of lung metastasis

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Hiroaki Kimura ◽  
Katsuhiro Hayashi ◽  
Kensuke Yamauchi ◽  
Norio Yamamoto ◽  
Hiroyuki Tsuchiya ◽  
...  
Keyword(s):  
Real Time ◽  
Cancer Cell ◽  
Lung Metastasis ◽  
Cell Dynamics ◽  
Real Time Imaging ◽  
Single Cancer

Abstract 1834: Real-time visualization and quantification of flexible, multi-parameter indicators of cancer cell heath and metabolism using live-cell analysis

2020 ◽  
Author(s):  
Cicely L. Schramm ◽  
John N. Rauch ◽  
Libuse Oupicka ◽  
Laura A. Skerlos ◽  
Nicola J. Bevan ◽  
...  
Keyword(s):  
Real Time ◽  
Cancer Cell ◽  
Live Cell ◽  
Cell Analysis ◽  
Real Time Visualization ◽  
Live Cell Analysis

Analytical Technology for Single-Cancer-Cell Analysis

2021 ◽  
pp. 851-863
Author(s):  
Ching-Te Kuo ◽  
Hsinyu Lee
Keyword(s):  
Cancer Cell ◽  
Cell Analysis ◽  
Single Cancer ◽  
Analytical Technology
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