期刊
NATURE METHODS
卷 15, 期 4, 页码 263-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.4605
关键词
-
资金
- BBSRC [BB/R000697/1, BB/M022374/1, BB/P027431/1] Funding Source: UKRI
- MRC [MC_UU_12018/7, MR/K015826/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/P027431/1, BB/M022374/1] Funding Source: researchfish
- Medical Research Council [MC_UU_12018/7, MC_UU_00012/7, MR/K015826/1] Funding Source: researchfish
- MRC Laboratory for Molecular Cell Biology (LMCB) [Mercer ERC Research Grant] Funding Source: researchfish
- Biotechnology and Biological Sciences Research Council [BB/M022374/1] Funding Source: Medline
- Medical Research Council [MC_UU_12018/7, MR/K015826/1] Funding Source: Medline
- Wellcome Trust Funding Source: Medline
Super-resolution microscopy depends on steps that can contribute to the formation of image artifacts, leading to misinterpretation of biological information. We present NanoJ-SQUIRREL, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution equivalents of the same acquisition volume, this approach generates a quantitative map of super-resolution defects and can guide researchers in optimizing imaging parameters.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据