SOmicsFusion: Multimodal coregistration and fusion between spatial metabolomics and biomedical imaging-Reference-Cited by-同舟云学术

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SOmicsFusion: Multimodal coregistration and fusion between spatial metabolomics and biomedical imaging

Published:2024-06 Issue:1 Volume:2 Page:100058
ISSN:2949-7477
Container-title:Artificial Intelligence Chemistry
language:en
Short-container-title:Artificial Intelligence Chemistry

Author:

Guo Ang,Chen Zhiyu,Ma Yinzhong,Lv Yueguang,Yan Huanhuan,Li Fang,Xing Yao,Luo Qian^ORCID,Zheng Hairong

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Department of Science and Technology of Guangdong Province

Shenzhen Science and Technology Innovation Committee

Heilongjiang Province Science and Technology Department

Chinese Academy of Sciences Guangzhou Institutes of Biomedicine and Health

Publisher

Elsevier BV

Reference54 articles.

1. R. Weissleder, M. Nahrendorf, Advancing biomedical imaging, Proceedings of the National Academy of Sciences 112(47) (2015)14424-14428.

2. Spatial genomics enables multi-modal study of clonal heterogeneity in tissues;Zhao;Nature,2022

3. Spatial organization of the somatosensory cortex revealed by osmfish;Codeluppi;Nat. Methods,2018

4. High-definition spatial transcriptomics for in situ tissue profiling;Vickovic;Nat. Methods,2019

5. Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry;Giesen;Nat. Methods,2014

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