Over the past decade, novel techniques in the direct imaging of transitional disks have allowed astronomers to capture images of possible sites of ongoing planet formation. To investigate apparent substructures in some of these disks, I developed FIGG, a Python package which allows the user to normalize, mask, label, and display a set of .fits format science images using a simple Google Sheets interface. Images can be arranged flexibly, for example by morphological classification or spectral type. FIGG uses a combination of pixel normalization, custom colormap scaling, background reduction, and convolution to standardize visual processing and improve the immediate visibility of a range of physical structures. Examining a set of newly-compiled near-infrared images of transitional disks from an international collaboration between the VLT-SPHERE, GPI, and Subaru teams, we were able to demonstrate the existence of all of our defined substructures across spectral types of the central star ranging from M to A/B. This anecdotal evidence calls into question the conventional wisdom that some disk substructures (e.g., spiral arms) exist only in the disks of stars of certain spectral types. I will also report on the efforts of our team to standardize algorithmic approaches to the identification of protoplanets. Recent advances in high contrast imaging have led to the capture of light directly emitted from several newly-formed worlds. Using principal component analysis, it is possible to distinguish weak planetary signals from their extremely bright, close host stars and examine these planets directly.