Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion
Abstract Raman spectroscopy, as a label-free optical technology, has widely applied in tumor diagnosis. Relying on the different Raman technologies, conventional diagnostic methods can be used for the diagnosis of benign, malignant and subtypes of tumors. In the past 3 years, in addition to traditio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-07-01
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| Series: | PhotoniX |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43074-023-00098-0 |
| _version_ | 1797784462959837184 |
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| author | Yafeng Qi Yuhong Liu Jianbin Luo |
| author_facet | Yafeng Qi Yuhong Liu Jianbin Luo |
| author_sort | Yafeng Qi |
| collection | DOAJ |
| description | Abstract Raman spectroscopy, as a label-free optical technology, has widely applied in tumor diagnosis. Relying on the different Raman technologies, conventional diagnostic methods can be used for the diagnosis of benign, malignant and subtypes of tumors. In the past 3 years, in addition to traditional diagnostic methods, the application of artificial intelligence (AI) in various technologies based on Raman technologies has been developing at an incredible speed. Based on this, three technical methods from single spot acquisition (conventional Raman spectroscopy, surface-enhanced Raman spectroscopy) to Raman imaging are respectively introduced and analyzed the diagnosis process of these technical methods. Meanwhile, the emerging AI applications of tumor diagnosis within these methods are highlighted and presented. Finally, the challenges and limitations of existing diagnostic methods, and the prospects of AI-enabled diagnostic methods are presented. |
| first_indexed | 2024-03-13T00:40:14Z |
| format | Article |
| id | doaj.art-f975ddee3a0d44deb2d02aef32248509 |
| institution | Directory Open Access Journal |
| issn | 2662-1991 |
| language | English |
| last_indexed | 2024-03-13T00:40:14Z |
| publishDate | 2023-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | PhotoniX |
| spelling | doaj.art-f975ddee3a0d44deb2d02aef322485092023-07-09T11:23:42ZengSpringerOpenPhotoniX2662-19912023-07-014114210.1186/s43074-023-00098-0Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusionYafeng Qi0Yuhong Liu1Jianbin Luo2State Key Laboratory of Tribology in Advanced Equipment, Tsinghua UniversityState Key Laboratory of Tribology in Advanced Equipment, Tsinghua UniversityState Key Laboratory of Tribology in Advanced Equipment, Tsinghua UniversityAbstract Raman spectroscopy, as a label-free optical technology, has widely applied in tumor diagnosis. Relying on the different Raman technologies, conventional diagnostic methods can be used for the diagnosis of benign, malignant and subtypes of tumors. In the past 3 years, in addition to traditional diagnostic methods, the application of artificial intelligence (AI) in various technologies based on Raman technologies has been developing at an incredible speed. Based on this, three technical methods from single spot acquisition (conventional Raman spectroscopy, surface-enhanced Raman spectroscopy) to Raman imaging are respectively introduced and analyzed the diagnosis process of these technical methods. Meanwhile, the emerging AI applications of tumor diagnosis within these methods are highlighted and presented. Finally, the challenges and limitations of existing diagnostic methods, and the prospects of AI-enabled diagnostic methods are presented.https://doi.org/10.1186/s43074-023-00098-0Raman spectroscopyRaman imagingSERSArtificial intelligenceTumor diagnosis |
| spellingShingle | Yafeng Qi Yuhong Liu Jianbin Luo Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion PhotoniX Raman spectroscopy Raman imaging SERS Artificial intelligence Tumor diagnosis |
| title | Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion |
| title_full | Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion |
| title_fullStr | Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion |
| title_full_unstemmed | Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion |
| title_short | Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion |
| title_sort | recent application of raman spectroscopy in tumor diagnosis from conventional methods to artificial intelligence fusion |
| topic | Raman spectroscopy Raman imaging SERS Artificial intelligence Tumor diagnosis |
| url | https://doi.org/10.1186/s43074-023-00098-0 |
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