As most nanoscale imaging data are oversampled, significant opportunities exist in leveraging concepts, methods, and algorithms from compressive sensing and sparsity in recording data and assembling information efficiently. Orders of magnitude expansions of dynamic range and accelerations of analyses are possible. We discuss early examples of successes in this area and point to how, with sufficiently fast algorithms, image acquisition and information assembly and convergence in nanoscience, microscopy, astronomy, reconnaissance, medicine, neuroscience, and entertainment could all be improved significantly. Nanoscale imaging tools, specifically scanning probe microscopies and spectroscopic imaging methods, are excellent testbeds for these studies both because of the programmability of acquisition and because of the relatively slow typical data acquisition rates.

New approaches to multimodal nanoscale imaging and analyses

251st National Meeting (2016)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.