Time / Day	Mon, 21.2.22	Tue, 22.2.22	Wed, 23.2.22	Thu, 24.2.22	Fri, 25.2.22	Mon, 28.2.22	Tue, 1.3.22	Wed, 2.3.22	Thu, 3.3.22	Fri, 4.3.22
Module	Microscopy & Image analysis				Microfluidics		scRNA-seq analysis
9:00	Introduction to light microscopy	Homework Discussion	Homework Discussion	Scrum meeting	Introduction into microfluidics	Student presentations
		Homework Discussion	Homework Discussion	Scrum meeting
		Image processing I: Filters, thresholding, segmentation	Image processing II: Machine learning, tracking	Scientific lecture II			Introduction to scRNA-seq	Homework discussion and exercises in ‘R’	Scientific lecture IV (Antonio Scialdone)	Scientific lecture V

10:00

		Confocal acquisition (interactive demo)	Fiji III: Segmentation Fiji IV: Automation	Fiji V: ML tools			Coffee break	Coffee break	Coffee break	Coffee break
							Getting started with scRNA-seq data analysis	Machine learning tools I	Homework discussion and scRNA-seq data from pre-implan- tation mouse embryos I	Homework discussion and scRNA-seq data from gastru- lating mouse embryos I
11:00	Q’n’A Break				How to run microfluidics experiments
	Q’n’A Break			Project work II
	Epifluorescence acquisition (interactive demo)	Fiji II: ROI manager, measurements

12:00			Project outline				Lunch break	Lunch break	Lunch break	Lunch break
		Quiz I	Project outline	Quiz II
	Lunch break	Lunch break	Lunch break	Lunch break	Lunch break	Lunch break

13:00							Some machine learning tools Homework assignment	Machine learning tools II Homework assignment	scRNA-seq data from pre-implan- tation mouse embryos II Homework assignment	scRNA-seq data from gastru- lating mouse embryos II Concluding remarks

	Fiji I: Image I/O, basic manipulations	Fiji and R. Model fitting, plotting, statistics	Project work I	Scrum meeting	Single cell analysis in Matlab	Scientific lecture III
				Project work III
14:00



15:00		Scientific lecture I




Home- work	Homework I	Homework II	Project work	Project work	Prepare presentations		Homework	Homework	Homework