Editing, Processing and Analysis of Scientific Images

Workinar content overview
Proper editing of scientific images for publications
Good scientific practice with Do’s and Dont’s regarding analysis and publication
Understanding all aspects of digital images (e.g. metadata, bit depth, histogram,…)
Scaling, scale bars, false colors, calibration bars, …
Uneven lighting correction methods for visualization and processing
Diverse background correction algorithms and their proper application
Image pre-processing: understanding image filters, their properties and usage
In-depth object extraction and optimizing image segmentation
Image post-processing: morphological operations for increased reliability during analyses
Analysis: object counting, size and shape determination, ROI-based intensity quantification
Assembly of process automation: A brief introduction to ImageJ macros