SEM3De: image restoration for FIB-SEM

Author:

Serir Rayane Hamdane1,Deliot Aurelie2,Kizilyaprak Caroline3,Daraspe Jean3,Walczak Christine1,Canini Françoise2,Leleu Amandine2,Marco Sergio2,Ronzon Frederic2,Messaoudi Cedric1ORCID

Affiliation:

1. Multimodal Imaging Center, CNRS UAR2016, INSERM US43, Institut Curie, PSL Research University, Université Paris-Saclay , 91401 Orsay Cedex, France

2. Sanofi , 69280 Marcy-l'Étoile, France

3. Electron Microscopy Facility, University of Lausanne , 1015 Lausanne, Switzerland

Abstract

Abstract Motivation 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. Results 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. Availability and implementation SEM3De can be downloaded from https://sourceforge.net/projects/sem3de/ as a plugin for ImageJ.

Funder

Sanofi Aurelie Deliot

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Genetics,Molecular Biology,Structural Biology

Reference20 articles.

1. Pyramid methods in image processing;Adelson;RCA Eng,1984

2. Inpainting

3. Exemplar-based inpainting: technical review and new heuristics for better geometric reconstructions;Buyssens;IEEE Trans Image Process,2015

4. PolishEM: image enhancement in FIB–SEM;Fernandez;Bioinformatics,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3