Data underlying the publication: Automated multi-scale quantitative image analysis of fibrous microstructures in food

Data underlying the publication: Automated multi-scale quantitative image analysis of fibrous microstructures in food. This study presented multiple image analysis techniques, gray-level co-occurrence matrix analysis, structure tensor analysis, fiber thickness quantification, and void-based fiber inter-connectivity quantification, to characterize fibrous microstructures in food. The data include complete set of generated images for method validation, example images of meat analogue microstructures, and .csv files with extracted parameters from the images.