Correction to “Rapid Identification of Drug Mechanisms with Deep Learning-Based Multichannel Surface-Enhanced Raman Spectroscopy”

IF 8.2 1区 化学 Q1 CHEMISTRY, ANALYTICAL ACS Sensors Pub Date : 2024-12-18 DOI:10.1021/acssensors.4c03526
Jiajia Sun, Wei Lai, Jiayan Zhao, Jinhong Xue, Tong Zhu, Mingshu Xiao, Tiantian Man, Ying Wan, Hao Pei, Li Li
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引用次数: 0

Abstract

In our original article, the Acknowledgments section was inadvertently omitted during the publication process. We apologize for this oversight. The correct acknowledgment text is provided below. All coauthors have approved this addition and correction to the article. This work was supported by the National Science Foundation of China (22174046), Shanghai Science and Technology Committee (STCSM) (22ZR1419800), and the National Key Research and Development Program of China (2022YFA1206600). This article has not yet been cited by other publications.
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对“基于深度学习的多通道表面增强拉曼光谱快速识别药物机制”的更正
在我们最初的文章中,在发布过程中无意中省略了致谢部分。我们为这个疏忽道歉。下面提供了正确的确认文本。所有共同作者都同意对文章的补充和更正。国家自然科学基金(22174046)、上海市科学技术委员会(STCSM) (22ZR1419800)和国家重点研发计划(2022YFA1206600)资助。这篇文章尚未被其他出版物引用。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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