An interactive ImageJ plugin for semi-automated image denoising in electron microscopy.

ABSTRACT: The recent advent of 3D in electron microscopy (EM) has allowed for detection of nanometer resolution structures. This has caused an explosion in dataset size, necessitating the development of automated workflows. Moreover, large 3D EM datasets typically require hours to days to be acquired and accelerated imaging typically results in noisy data. Advanced denoising techniques can alleviate this, but tend to be less accessible to the community due to low-level programming environments, complex parameter tuning or a computational bottleneck. We present DenoisEM: an interactive and GPU accelerated denoising plugin for ImageJ that ensures fast parameter tuning and processing through parallel computing. Experimental results show that DenoisEM is one order of magnitude faster than related softwa

SUBMITTER: Roels J 

PROVIDER: S-EPMC7005902 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature