Data Carpentry - Image Processing with Python

On 19th and 25th February, Advanced Research Computing are hosting a Data Carpentry workshop for researchers at the University of Birmingham. Please note attendance is from 09:00 - 17:00 on both days.

The Carpentries are a fiscally sponsored project of Community Initiatives. They teach skills that are immediately useful for researchers, using lessons and datasets that allow researchers to quickly apply what they’ve learned to their own work. We're really excited about using the Data Carpentry curriculum here to help our researchers become more efficient in their research.

About the Workshop

The Data Carpentry: Image Processing with Python workshop will teach the fundamental concepts and skills needed to load, edit, and analyse image data with the Python programming language. Aimed at learners who are already familiar with the basics of Python the lesson explores:

• how images are stored digitally,
• how these files can be loaded and represented in Python,
• how to select and edit regions in an image,
• how to handle noise in image data,
• how to select pixels in an image based on their properties, and
• how to automatically identify and analyse objects within an image.

The workshop uses the scikit-image library to teach these skills, and is taught within a Jupyter environment. The material includes many different example images, including plants, bacterial colonies, and household objects, which are intended to be accessible to learners from a diverse range of backgrounds.

In addition to the standard Carpentries curriculum we will cover an additional non-official episode focussing of multidimensional data visualisation and analysis with Napari - a fast interactive image viewer for Python.

More information about Software Carpentry can be found here: https://www.birmingham.ac.uk/research/arc/bear/training/the-carpentries-courses.aspx