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2-day Nanomedicine Course

Practical Introduction to Nanomedicine, May 22-23rd 2017

Topics:

  • Luminescent conjugated oligothiothenes
  • Antimicrobial resistance testing using the Nanowell slide
  • Monitoring Infection kinetics using a Conducting Polymer based Sensor

Recommended Reading

1. Löffler, S.; Libberton, B.; Richter-Dahlfors, A. Organic bioelectronics in infection. J. Mater. Chem. B2015, 3, 4979–4992.

2. Löffler, S.; Richter-Dahlfors, A. Phase angle spectroscopy on transparent conducting polymer electrodes for real-time measurement of epithelial barrier integrity. J. Mater. Chem. B2015, 3, 4997–5000.

 

Please read prior to the course

Getting Started with Data Analysis

Python

We will use the Canopy Python environment from Enthought

Go to https://store.enthought.com/downloads/

Download the version of Canopy for your operating system. Please make sure to select the Canopy version that runs Python 2.7 (Mac OS 64bit: https://store.enthought.com/downloads/installer/18/ Window 64bit: https://store.enthought.com/downloads/installer/9/)

Once installed, open Canopy and click on “Package Manager”

Search for the following packages and make sure that they are installed. If they are not, click the install button next to the package name.

xlrd

scipy

matplotlib

Once these are installed, exit the Package Manager and go to the “Editor”. You are now ready to start writing and executing Python scripts.

R

We will use RStudio to run our R commands. RStudio is an Integrated Development Environment for R which makes is easier to use at the very beginning.

First we must install R.

Go here https://cran.rstudio.com/

Install R for your operating sytem.

Next we must install RStudio

Go to https://www.rstudio.com/products/rstudio/download/

Download the free RStudio version.

Now you can open R studio and run R commands.

Recommended Reading

No prior knowledge is assumed but you will benefit from taking both of these courses either prior or after the 2-day Nanomedicine course.

R course from Johns Hopkins University available for free on Coursera

https://www.coursera.org/learn/r-programming

 

Python Course from Michigan University available for free on Coursera

https://www.coursera.org/learn/python

 

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Datasets

Additional Material