This workshop teaches uses Python and a variety of examples images to teach foundational concepts of image processing and the skills needed to programmatically extract information from images.This workshop will occur from 9am-5pm on Thursday and Friday, November 12-13, 2026. It will cover: 

• How images are represented in digital formats 
• Working with the scikit-image Python computer vision library 
• How to modify, analyze, and extract data from images 

These lessons assume a working knowledge of Python and some previous exposure to Bash shell. Requirements can be completed by a) attending the Intro to Python workshop offered this semester; b) attending previous a Software Carpentry Python workshop or Data Carpentry Genomics workshop; c) completing ICER's asynchronous tutorial Intro2Python; or d) independent exposure to both Python and Bash shell. 

By the end of the workshop, learners will be able to: 

• Explain how digital images are stored and represented for analysis 
• Select and isolate regions of interest within an image 
• Use blurring filters to reduce noise and prepare images for analysis 
• Apply thresholding methods to measure growth from image data 
• Count and analyze objects in an image using connected component analysis 

This is an official Data Carpentry workshop and will follow its style, curriculum, and code of conduct to provide a welcoming and interactive environment for learning the basics of working with data.

Registration is required and closes on November 6, 2026 

For any additional information or questions, please contact Craig Grosch (grosscra@msu.edu), Research Computing Facilitator at MSU's Institute for Cyber-Enabled Research (ICER) and/or Justin Wadland (wadlandj@msu.edu), Head of Digital Scholarship Services, MSU Libraries.