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Bridging The Gap

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sCMOS camera technology like Hamamatsu’s ORCA-Flash4.0 V2 is well matched to applications such as localization microscopy. But no camera is perfect. As researchers from the Bewersdorf lab at Yale powerfully illustrate in their recent Nature Methods paper1, understanding your camera's imperfections can lead to better performance and better science. Learn more about how characterizing camera noise and applying this information in computational microscopy systems can maximize the performance of your camera by reading Keith Bennett’s presentation “Bridging The Gap” and his recent speech “What's Behind The Picture” at FOM2014 tutorial.

1Huang, F. et al. Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms. Nat. Methods 10, 653–658 (2013).

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