Fast and efficient molecule detection in localization-based super-resolution microscopy by parallel adaptive histogram equalization

ACS Nano. 2013 Jun 25;7(6):5207-14. doi: 10.1021/nn4009388. Epub 2013 May 9.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't