Pointillistic super-resolution microscopy techniques provide nanometer scale spatial resolution and single molecule sensitivity. Thus, they are excellent tools for probing the lateral organization of molecules, especially in biological environments. Additional information on such organization can be obtained by subjecting super-resolution data to quantitative analyses. These powerful approaches are able to quantify the extent to which molecules localize into clusters and the size/occupancy of clusters. However, quantitative super-resolution approaches typically encounter two major challenges. First, it is difficult to determine optimum imaging parameters and characterize, under these conditions, the fluorescent probe's biophysical properties. Second, it is challenging to identify efficient labeling strategies for detecting endogenous proteins, particularly those that yield stoichiometric and site specific labeling. To efficiently characterize fluorescent probes, we have developed an easily implementable nano-biology assay. Using chemistry compatible with super-resolution imaging (i.e. producing minimal background signal), proteins were covalently immobilized to glass surfaces with specific orientations. Interrogating such surfaces revealed important features of both optical highlighter proteins (paGFP and pamCherry1) and proteins labeled with organic fluorophores. To efficiently label endogenous receptors, we leveraged a unique cyclic peptide called meditope, which binds within the Fab framework of engineered monoclonal antibodies. A fluorescent meditope was complexed with the engineered trastuzumab Fab. This complex was used to image both SK-BR-3 and BT-474 cells, where we delineated the distribution of epidermal growth factor receptor 2 (HER2). According to our results, the majority of HER2 receptors were monomers as expected. However, a fraction of receptors were organized as oligomers, and more significantly in BT-474 cells that are oncogene-addicted. This demonstrates that our method is capable of detecting subtle differences in endogenous receptor organization and thus offers a powerful platform for quantitative super-resolution imaging.