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Fast and efficient molecule detection in localization-based super-resolution microscopy by parallel adaptive histogram equalization.
|Title||Fast and efficient molecule detection in localization-based super-resolution microscopy by parallel adaptive histogram equalization.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Li Y, Ishitsuka Y, Hedde PN, Nienhaus UG|
|Date Published||2013 Jun 25|
In localization-based super-resolution microscopy, individual fluorescent markers are stochastically photoactivated and subsequently localized within a series of camera frames, yielding a final image with a resolution far beyond the diffraction limit. Yet, before localization can be performed, the subregions within the frames where the individual molecules are present have to be identified-oftentimes in the presence of high background. In this work, we address the importance of reliable molecule identification for the quality of the final reconstructed super-resolution image. We present a fast and robust algorithm (a-livePALM) that vastly improves the molecule detection efficiency while minimizing false assignments that can lead to image artifacts.
|Alternate Journal||ACS Nano|