#I2K2020 tutorial exercises

Designing GPU-accelerated Image Data Flow Graphs for CLIJ2 and clEsperanto and deployment to ImageJ, Fiji, Icy, Matlab, QuPath, Python, Napari and C++

	Exercise 1: Testing CLIJ2 installation
	Exercise 2: Study capabilities of your system
	Exercise 3: Quantitative comparison
	Exercise 4: Counting blobs
	Exercise 5: Interactive workflow design
	Exercise 6: Deconvolution + Segmentation
	Exercise 7: Segmentation in ime lapse data
	Exercise 8: Segmentation in napari + magicgui
	Exercise 9: Tribolium morphometry in Python
	Exercise 10: Cell Detection in QuPath with CluPath
	Exercise 11: Reusing versus reallocating memory
	Exercise 15: CamelCase or snake_case?