Supplementary Figure 3: Performance gain from tissue cartography.
From: Tissue cartography: compressing bio-image data by dimensional reduction

(a) Storage per time point in atlas versus raw data. Atlas normalized by number of surface coverings (number of times each point is contained in a map). Color codes for time dependence. Black: dynamic shapes require storage of atlas and geometric metadata for each time point; blue: static shapes with 10 time points only require storage of geometric metadata once, reducing the average storage per time point; red: as blue for 200 time points, further reducing average storage. Blue Square indicates average storage for the embryo data from Fig. 1, green diamond for heart data from Fig. 3. (b) Access and processing times for atlas and raw data in (a). Black: time required to load the data. Colors: typical processing times. Blue: Gaussian filter, magenta: erosion, red: theoretical data transfer at 5 MB/s of dynamic surface from (a). (c) Feature table of 3D, uncorrected 2D, and cartographic projections, comparing performance in routine tasks, data disentanglement, and feasibility of data post-processing methods.