An interactive ImageJ plugin for semi-automated image denoising in electron microscopy
oleh: Joris Roels, Frank Vernaillen, Anna Kremer, Amanda Gonçalves, Jan Aelterman, Hiêp Q. Luong, Bart Goossens, Wilfried Philips, Saskia Lippens, Yvan Saeys
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-02-01 |
Deskripsi
Large 3D electron microscopy data sets frequently contain noisy data due to accelerated imaging, and denoising techniques require specialised skill sets. Here the authors introduce DenoisEM, an ImageJ plugin that democratises denoising EM data sets, enabling fast parameter tuning and processing through parallel computing.