begin by analyzing several key components of the adaptive system so that mutual benefit in interdisciplinary fields could be gained for future imaging solutions.

These ideas include solving the inverse problem as well as creating an updated model for adaptive imaging to correct for aberrations or changes within a system. Also, there is benefit in extracting information from 3-D measurements to better know what exists (and thus, what affects the measurement) between the point of interest and the imaging technology. Media also needs to be approached differently depending on how turbulent or turbid they are, and physical system corrections need to be implemented. Such implementations are in the future because they are application-dependent, and how to actually correct the physical system is a question in and of itself.

Although improving the quality of images and their systems is an important goal, future tools, systems, algorithms, and other components of adaptive imaging and adaptive optics are yet to be designed and implemented. However, the team envisioned a future that can be brought from the peripheral cusp of ingenuity and into focus for future generations of imaging science applications.