Reslicing: Analyzing 3D Data

This lecture introduces the concept of reslicing, a method to convert 3D datasets into 2D images by extracting intensity values along a line. It discusses the use of reslicing in analyzing moving objects, pitfalls related to pixel interpolation, and practical applications in analyzing time and z-stacks. The lecture also covers kymograph analysis for studying moving particles and demonstrates how reslicing can reveal spatial relationships in z-stacks. Additionally, it explores the use of reslicing in Fiji/ImageJ, the importance of documenting parameters for reproducibility, and the power of combining image processing and analysis steps for meaningful data extraction.