Carnegie Mellon University
file.pdf (768.6 kB)

Structure-based determination of imaging length for super-resolution localization microscopy

Download (768.6 kB)
journal contribution
posted on 2014-05-01, 00:00 authored by Kuan-Chieh Jackie Chen, Jelena KovacevicJelena Kovacevic, Ge YangGe Yang

Localization-based super-resolution techniques are revolutionizing biological research by breaking the diffraction limit of fluorescence microscopy. Each super-resolution image is reconstructed from a time series of images of randomly activated fluorophores. Here, a fundamental question is to determine the minimal imaging length so that the reconstructed image faithfully reflects the biological structures under observation. So far, proposed methods focus entirely on image resolution, which reflects localizationuncertainty and fluorophore density, without taking into account the fact that images of biological structures are structured rather than random patterns. Here, we propose a different approach to determine imaging length based on direct quantification of image structural information using Gabor filters. Experimental results show that this approach is superior over approaches that only account forimage-intensity distribution, confirming the importance of using structural information. In contrast toresolution-based methods, our method does not require an artificial selection of image resolution and provides a statistically rigorous strategy for determining imaging length based on image structural information.


Publisher Statement

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.



Usage metrics


    Ref. manager