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AI-enhanced mid-infrared photothermal imaging reveals distinct spatial molecular signatures for label-free cancer staging.

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Title: AI-enhanced mid-infrared photothermal imaging reveals distinct spatial molecular signatures for label-free cancer staging.
Authors: Ye, Xin1,2, Fu, Pengcheng1,3, Tang, Xiaobin1, Liu, Zhichao2, Wang, Siming1, Wang, Shaolong2, Liu, Yu2, Zhao, Wenquan4, Zhu, Ziyu2, Wang, Huiming2, Lee, Hyeon Jeong5, hjlee@zju.edu.cn, Zhang, Delong1, dlzhang@zju.edu.cn, Yu, Mengfei2, yumengfei@zju.edu.cn
Source: PhotoniX; 3/4/2026, Vol. 7 Issue 1, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192095179
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AI-enhanced mid-infrared photothermal imaging reveals distinct spatial molecular signatures for label-free cancer staging.
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  Data: <searchLink fieldCode="AU" term="%22Ye%2C+Xin%22">Ye, Xin</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Fu%2C+Pengcheng%22">Fu, Pengcheng</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Tang%2C+Xiaobin%22">Tang, Xiaobin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Zhichao%22">Liu, Zhichao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Siming%22">Wang, Siming</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Shaolong%22">Wang, Shaolong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Liu%2C+Yu%22">Liu, Yu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Wenquan%22">Zhao, Wenquan</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Ziyu%22">Zhu, Ziyu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Huiming%22">Wang, Huiming</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Lee%2C+Hyeon+Jeong%22">Lee, Hyeon Jeong</searchLink><relatesTo>5</relatesTo>, <i>hjlee@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Delong%22">Zhang, Delong</searchLink><relatesTo>1</relatesTo>, <i>dlzhang@zju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yu%2C+Mengfei%22">Yu, Mengfei</searchLink><relatesTo>2</relatesTo>, <i>yumengfei@zju.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22PhotoniX%22">PhotoniX</searchLink>; 3/4/2026, Vol. 7 Issue 1, p1-19, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192095179
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s43074-026-00233-7
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      – Code: eng
        Text: English
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      – TitleFull: AI-enhanced mid-infrared photothermal imaging reveals distinct spatial molecular signatures for label-free cancer staging.
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            NameFull: Ye, Xin
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            NameFull: Fu, Pengcheng
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            NameFull: Tang, Xiaobin
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            – D: 04
              M: 03
              Text: 3/4/2026
              Type: published
              Y: 2026
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              Value: 7
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