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Course Material

01 - Introduction to BoBiAC
02 - Getting Started with Python and uv
03 - Python Basics
- The Python Basics Notebook
- Errors Everywhere
04 - Introduction to Digital Images
- Python for bioimage analysis
05 - Image Segmentation
06 - Object Classification
- Ilastik for Object Classification
07 - Measurements & Quantification
- Measurements & Quantification Notebook
- Background Correction
08 - Colocalization

Student Working Groups

Student Group Work

Course Materials Downloads

Downloads

Links

BoBiAC
uv
juv
Image Analysis Collaboratory (IAC)
Core for Imaging Technology & Education (CITE)

Contributors

Federico Gasparoli, PhD
Eva de la Serna, PhD, PhD
Ranit Karmakar, PhD
Maria Theiss, PhD
Antoine Ruzette, MSc
Max Brambach, PhD
Simon Nørrelykke, PhD

01 - Introduction to BoBiAC

01 - Introduction to BoBiAC#

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By Federico Gasparoli - Image Analysis Collaboratory @ Harvard Medical School - federico.gasparoli@gmail.com

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