Figure 1

Representative images of each pattern from correctly classified images using previous neural network classifiers. Ten patterns from the 2D/3D HeLa cell image collection are depicted: endoplasmic reticulum (A/K), giantin (B/L), gpp130 (C/M), LAMP2 (D/N), mitochondria (E/O), nucleolin (F/P), actin (G/Q), transferrin receptor (H/R), tubulin (I/S), and DNA (J/T). Each false color in the 3D images represents the fluorescence intensity from labeling the target protein (green), total DNA (red), and total protein (blue). Projections that are summed upon the Z or Y axis are shown. The feature sets SLF13 (2D) and SLF10 (3D) were used both for classification and for choosing a typical image.