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  • The Rockefeller University
  • New York City

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Michael-shannon/README.md

👋 Hi, I’m @Michael-shannon

Proton Outlook GoogleScholar

👀 I’m interested broadly in computational bio-image analysis.

🌱 Currently making a single particle tracking pipeline for data acquired in neurons from embryonic stem cells

📫 How to reach me: you can email me at [email protected] or click the contact button above.


✨ 2025 ✨

  1. sptNano: a pipeline to extract features from single particle tracks, classify them and compare with known species.
  2. karyosight: an image classification pipeline to predict the ploidy status of lung organoids for application to cancer diagnostics.

✨ 2024 ✨

  1. CellPLATO

"cell PLasticity Analysis TOol" : an unsupervised approach to classify cell behaviours from timelapse microscopy

  1. Particle Image Velocimetry (PIV) for batch analysis of cytoskeletal flow

I adapted this from Ivan Rey-Suarez and Arpita Upadhyaya (full paper link in repo description)

  1. AWS adapted localization microscopy multi-blinking correction software (DDC) from Christopher H. Bohrer

I use it currently for STORM data correction, to count molecules in protein clusters/organizing centres, adapted to work on AWS cloud for large datasets

💬 Ask me about anything -> I am happy to answer your questions & help you out; 📫 How to reach me: check the banners at the top of this page!


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  1. cellPLATO cellPLATO Public

    The 2025 version of cellPLATO

    Jupyter Notebook 15 4

  2. SPTnano SPTnano Public

    Python