CIF: Small: Sequential and Compound Estimation for Computational Imaging Systems

Sponsor: National Science Foundation

Award Number: 1815896

Abstract:

The widespread use of imaging technologies across biology, chemistry, material science, medicine, and other fields is motivated by the great innate human ability for visual information processing. Imaging is often limited, however, by the damage to a sample caused by the imaging process, such as sputtering due to the incident ion or electron beam in scanned beam microscopy. With conventional methods, a sample may be destroyed before enough information has been gained to form a useful image. This project develops methods for reducing the necessary dose in microscopy systems. This may make it possible to image molecular or biological species not before imaged, or to increase the speed of imaging so that new dynamic phenomena are revealed. The project also includes dissemination of results to broad audiences through expository writing, general-audience talks, cross-disciplinary training, and production of teaching materials.

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This award reflects NSF’s statutory mission and has been deemed worthy of support through evaluation using the Foundation’s intellectual merit and broader impacts review criteria.

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