SEM3De: image restoration for FIB-SEM.
Détails
Télécharger: 37745005_BIB_ABEFF7456FCB.pdf (386.85 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_ABEFF7456FCB
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
SEM3De: image restoration for FIB-SEM.
Périodique
Bioinformatics advances
ISSN
2635-0041 (Electronic)
ISSN-L
2635-0041
Statut éditorial
Publié
Date de publication
09/2023
Peer-reviewed
Oui
Volume
3
Numéro
1
Pages
vbad119
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
Résumé
FIB-SEM (Focused Ion Beam-Scanning Electron Microscopy) is a technique to generate 3D images of samples up to several microns in depth. The principle is based on the alternate use of SEM to image the surface of the sample (a few nanometers thickness) and of FIB to mill the surface of the sample a few nanometers at the time. In this way, huge stacks of images can thus be acquired.Although this technique has proven useful in imaging biological systems, the presence of some visual artifacts (stripes due to sample milling, detector saturation, charge effects, focus or sample drift, etc.) still raises some challenges for image interpretation and analyses.
With the aim of meeting these challenges, we developed a freeware (SEM3De) that either corrects artifacts with state-of-the-art approaches or, when artifacts are impossible to correct, enables the replacement of artifactual slices by an in-painted image created from adjacent non-artifactual slices. Thus, SEM3De improves the overall usability of FIB-SEM acquisitions.
SEM3De can be downloaded from https://sourceforge.net/projects/sem3de/ as a plugin for ImageJ.
With the aim of meeting these challenges, we developed a freeware (SEM3De) that either corrects artifacts with state-of-the-art approaches or, when artifacts are impossible to correct, enables the replacement of artifactual slices by an in-painted image created from adjacent non-artifactual slices. Thus, SEM3De improves the overall usability of FIB-SEM acquisitions.
SEM3De can be downloaded from https://sourceforge.net/projects/sem3de/ as a plugin for ImageJ.
Pubmed
Open Access
Oui
Création de la notice
02/10/2023 14:44
Dernière modification de la notice
25/01/2024 7:42