MOESM1 of Spatial referencing of chlorophyll fluorescence images for quantitative assessment of infection propagation in leaves demonstrated on the ice plant: Botrytis cinerea pathosystem

Additional file 1. Illustration of the results of tests for automatic registration of fluorescence images. Figure 1. Input image pairs to register: fixed image (on the left) and moving image (on the right). Figure 2. Intensity based monomodal ‘similarity’ registration with gradient descent optimizer. Figure 3. ‘Similarity’ registration with 2D phase correlation algorithm. Figure 4. ‘Similarity’ registration using the automatic detection of SURF (Speeded-Up Robust Features). Figure 5. ‘Similarity’ registration based on the algorithm of automatic detection and matching MSER features (Maximally Stable Extremal Regions). Figure 6. ‘Similarity’ registration with the Fiji (ImageJ) plugin Linear Stack Alignment with SIFT. Figure 7. ‘Similarity’ registration with the Fiji (ImageJ) plugin Register Virtual Stack Slices aided by automatically extracted SIFT features (Scale Invariant Feature Transform). Figure 8. Examples of ‘similarity’ registration with the Fiji (ImageJ) plugin Descriptor-based registration (2d/3d) using SPIM (Selective Plane Illumination Microscope) method