Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels

Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels

Citation Author(s):
Mahmoud
Abbaszadeh
University of Warwick
Iresha
Atthanayake
University of Warwick
Peter
J. Thomas
University of Warwick
Weisi
Guo
Cranfield University
Submitted by:
Mahmoud Abbaszadeh
Last updated:
Fri, 11/29/2019 - 17:31
DOI:
10.21227/ynet-ss80
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Abstract: 

This data set is regarding the paper submitted to the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. The title of the paper is 'Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels' with the ID of TMBMC-TPS-19-0014.R2. The data are images taken from the particle image velocimetry (PIV) method and the Planar Laser-Induced fluorescence (PLIF) method. The images are being used to describe these two experimental methods for the molecular communication community. They are in two separate folders accompanied by the MATLAB code for processing the images. The abstract of the paper is:

This method and data paper sets out the macro-scale experimental techniques that can enable fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments can capture latent features that allow the receiver to detect coherent signal structures and infer transmit parameters for optimal decoding. Our paper reviews two major molecular signal tracking and detection techniques using optical imaging: Particle Image Velocimetry (PIV) and Planar Laser-Induced Fluorescence (PLIF). We offer step-by-step procedures and data for some of the key procedures we have used in previous research outputs, as well as comparative evaluation in terms of performance accuracy and practical complexity.

Instructions: 

The name of the main zip file is Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels. When you extract that you will see two folders named PIV and PLIF. In the PIV folder, one can find two sets of images for frame rates of 15 and 90 fps. The first image in each set is the calibration image. The PLIF folder contains two sub-folders, Calibration and Test, with the relevant images for a sample experiment. The images in the Test folder have been recorded with a frame rate of 2 fps.

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[1] Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo , "Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/ynet-ss80. Accessed: Dec. 14, 2019.
@data{ynet-ss80-19,
doi = {10.21227/ynet-ss80},
url = {http://dx.doi.org/10.21227/ynet-ss80},
author = {Mahmoud Abbaszadeh; Iresha Atthanayake; Peter J. Thomas; Weisi Guo },
publisher = {IEEE Dataport},
title = {Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels},
year = {2019} }
TY - DATA
T1 - Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels
AU - Mahmoud Abbaszadeh; Iresha Atthanayake; Peter J. Thomas; Weisi Guo
PY - 2019
PB - IEEE Dataport
UR - 10.21227/ynet-ss80
ER -
Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo . (2019). Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels. IEEE Dataport. http://dx.doi.org/10.21227/ynet-ss80
Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo , 2019. Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels. Available at: http://dx.doi.org/10.21227/ynet-ss80.
Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo . (2019). "Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels." Web.
1. Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo . Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/ynet-ss80
Mahmoud Abbaszadeh, Iresha Atthanayake, Peter J. Thomas, Weisi Guo . "Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels." doi: 10.21227/ynet-ss80