Computer Science

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

J. Roels, F. Vernaillen, et al.

Discover how DenoisEM, an innovative ImageJ plugin for GPU-accelerated denoising developed by Joris Roels and colleagues, dramatically enhances the speed and quality of 3D electron microscopy data. This breakthrough allows for a fourfold increase in data acquisition speed, ensuring exceptional visualization and segmentation without compromising quality.

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Abstract

The advent of 3D electron microscopy (EM) has led to massive datasets requiring automated workflows. Accelerated imaging often produces noisy data. This paper introduces DenoisEM, an ImageJ plugin for GPU-accelerated denoising. Results show DenoisEM is significantly faster than existing software, enabling a fourfold increase in data acquisition speed without compromising quality, and improving visualization and segmentation.

Publisher

Nature Communications

Published On

Feb 07, 2020

Authors

Joris Roels, Frank Vernaillen, Anna Kremer, Amanda Gonçalves, Jan Aelterman, Hiệp Q. Luong, Bart Goossens, Wilfried Philips, Saskia Lippens, Yvan Saeys

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