Massive data handling is the major challenge in super-resolution localization microscopy. Here we present a data reduction approach to solve this challenge. This approach enables the advantageous use of sCMOS cameras in super-resolution localization microscopy.
© 2013 OSA
H. Ma, S. Zeng, and Z. Huang, "Data Reduction Enables Massive Data Handling in Super-resolution Localization Microscopy," in Optics in the Life Sciences, OSA Technical Digest (online) (Optical Society of America, 2013), paper JT2A.8.
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