Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging

Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging

Citation Author(s):
Bathiya
Senevirathna
University of Maryland
Sheung
Lu
University of Maryland
Marc
Dandin
Carnegie Mellon University
John
Basile
University of Maryland School of Dentistry
Elisabeth
Smela
University of Maryland
Pamela
Abshire
University of Maryland
Submitted by:
Bathiya Senevirathna
Last updated:
Mon, 07/22/2019 - 10:20
DOI:
10.21227/9zzd-w936
Data Format:
License:
Creative Commons Attribution
Dataset Views:
258
Share / Embed Cite

Monitoring cell viability and proliferation in real-time provides a more comprehensive picture of the changes cells undergo during their lifecycle than can be achieved using traditional end-point assays. Our lab has developed a CMOS biosensor that monitors cell viability through high-resolution capacitance measurements of cell adhesion quality. The system consists of a 3 × 3 mm2 chip with an array of 16 sensors, on-chip digitization, and serial data output that can be interfaced with inexpensive off-the-shelf components.

This dataset contains measurements from in vitro experiments where human ovarian cancer cells (CP70, A2780) were cultured directly on top of the CMOS biosensor. Cells were allowed to grow and proliferate before being exposed to cisplatin, a chemotherapeutic agent.

The dataset consists of the capacitance measurements along with images of the sensor surface taken at different times during experiments. Several of the experiments additionally have concurrent time-lapse images to allow for sensor data correlation.

 

Instructions: 

The dataset file (cap_sensor_data.zip) contains capacitance measurements and images. CSV data is provided in the "capData_csv" folder. Images are provided in the "images" folder. The data in MATLAB format is found in "capData.mat". The MATLAB script file, "script_plot_data.m", contains code to parse and plot the data. It can be used as an example to perform data analysis. The spatial locations of the 16 channels can be found in "channel_numbers.jpg".

Please see the attached documentation file for more details.

 

Dataset Files

You must login with an IEEE Account to access these files. IEEE Accounts are FREE.

Sign Up now or login.

Documentation

AttachmentSize
PDF icon data_documentation.pdf646.21 KB

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/9zzd-w936. Accessed: Oct. 16, 2019.
@data{9zzd-w936-19,
doi = {10.21227/9zzd-w936},
url = {http://dx.doi.org/10.21227/9zzd-w936},
author = { },
publisher = {IEEE Dataport},
title = {Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging},
year = {2019} }
TY - DATA
T1 - Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging
AU -
PY - 2019
PB - IEEE Dataport
UR - 10.21227/9zzd-w936
ER -
. (2019). Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging. IEEE Dataport. http://dx.doi.org/10.21227/9zzd-w936
, 2019. Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging. Available at: http://dx.doi.org/10.21227/9zzd-w936.
. (2019). "Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging." Web.
1. . Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/9zzd-w936
. "Measurements of cancer cell proliferation using a Lab-on-CMOS capacitance sensor with time-lapse imaging." doi: 10.21227/9zzd-w936