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Top Story

New method improves accuracy of imaging systems

New research provides scientists looking at single molecules or into deep space a more accurate way to analyze imaging data captured by microscopes, telescopes and other devices. The improved method for determining the position of objects captured by imaging systems is the result of new research by scientists at the University of Chicago. The findings provide a mechanism—known as single-pixel interior filling function, or SPIFF—to detect and correct systematic errors in data and image analysis used in many areas of science and engineering.

Visit Website | Image credit: Norbert F. Scherer, Department of Chemistry, University of Chicago