In this talk I will discuss a few of our recent efforts to map brain modules at the single neuron/cell resolution. With our recent open cloud computing platform to manage and analyze petabyte-scale multi-dimensional imaging data, at different spatial scales and from multiple imaging and data-interaction modalities, we are able to assemble substantial single-neuron resolution datasets at the whole brain scales to detect the brain modules, in the context of standardized brain atlases. Our platform features a whole repertoire of tools including cloud-based data serving, multi-clients synergetic computing, mobile and desktop applications, supercomputing, immersive headsets and web interfaces, streamlined high-throughput production pipeline, and interactive data mining. These resources have led to cross-scale observation of brain modules in different species specifically for mouse and human brains that are otherwise very challenging to study.