分辨率(逻辑)
注释
荧光
聚类分析
肺癌
癌症
图像(数学)
超分辨率
人工智能
计算机科学
计算生物学
生物
计算机视觉
病理
医学
物理
光学
遗传学
作者
Qin Xiao,Zihao Li,Jinrui Zhang,Hongru Li,Guangxin Zhang,Meng Li,Baofeng Li,Ying Fu,Meifeng Cai,Hongda Wang,Ti Tong,Gao J
出处
期刊:iScience
[Cell Press]
日期:2023-04-01
卷期号:26 (4): 106360-106360
标识
DOI:10.1016/j.isci.2023.106360
摘要
(iScience 26, 106103; March 17, 2023) In the original article, the annotation information in the Figures 4A–4D and Figures 5A–5F were mislabeled. We have replaced the annotation “normal cancer tissue” with “normal lung tissues” in the revised Figures 4 and 5. All authors agree to the correction and confirm that this does not impact the scientific message of the paper, and they apologize for any inconvenience caused to the readers.Figure 4. Imaging of cancer tissue and matched normal tissue sections under the common fluorescent microscope (100×) (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure 5. The super-resolution images of cancer tissue and matched normal tissue sections (100×) (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure 5. The super-resolution images of cancer tissue and matched normal tissue sections (100×) (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT) Mechanistic insights into CDCP1 clustering on non-small-cell lung cancer membranes revealed by super-resolution fluorescent imagingQi et al.iScienceFebruary 2, 2023In BriefOptical imaging; Cell biology; Cancer. Full-Text PDF Open Access
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