Skip to main content
Back to top
Ctrl
+
K
Home
Course Material
01 -
Introduction to BoBiAC
02 -
Getting Started with Python and
uv
03 -
Python Basics
The Python Basics Notebook
04 -
Introduction to Digital Images
Python for bioimage analysis
05 -
Image Segmentation
Classical Methods
Classical Segmentation
Machine Learning Methods
Introduction to Ilastik
Ilastik for Pixel Classification
From Ilastik Masks to Labels
Deep Learning Methods
Introduction to Cellpose
Cellpose in Python
Retraining Cellpose on Custom Data
06 -
Object Classification
Ilastik for Object Classification
07 -
Measurements & Quantification
Measurements & Quantification Notebook
Background Correction
08 -
Colocalization
Pearson’s correlation coefficient
Manders’ Correlation Coefficients
Object-based colocalization analysis
09 -
Reproducibility and Image Ethics
Student Working Groups
Student Group Work
Course Materials Downloads
Downloads
Links
BoBiAC
uv
juv
Image Analysis Collaboratory (IAC)
Core for Imaging Technology & Education (CITE)
09 -
Reproducibility and Image Ethics
09 -
Reproducibility and Image Ethics
#
