Welcome to the tutorial on Scaling-up image analysis with Python!
This is a self paced course for reviewing approaches for carrying out image analysis on large-scale image.
Here you will learn how to use zarr and dask packages in Python to operate in larger-than-RAM image data.
This means large-scale images that otherwise would not fin in memory for their processing, while keeping the workflow as efficient as possible.
Some applications reviewed in this tutorial are:
- Visualization of regions of interest within large-scale images
- Pre-processing image data (color and data type conversion)
- Applying image processing methods
- Use deep-learning methods for biological structures segmentation
If you have any questions about the materials in this tutorial, please reach out at fernando.cervantes@jax.org, or find me in slack as @fernando.cervantes!