Thomas Bocklitz, Anja Silge, Hyeonsoo Bae, Marko Rodewald, Fisseha Bekele Legesse, Tobias Meyer, Jürgen Popp
{"title":"非侵入性成像技术:从组织学到体内成像:肿瘤学成像章节。","authors":"Thomas Bocklitz, Anja Silge, Hyeonsoo Bae, Marko Rodewald, Fisseha Bekele Legesse, Tobias Meyer, Jürgen Popp","doi":"10.1007/978-3-030-42618-7_25","DOIUrl":null,"url":null,"abstract":"<p><p>In this chapter, we will introduce and review molecular-sensitive imaging techniques, which close the gap between ex vivo and in vivo analysis. In detail, we will introduce spontaneous Raman spectral imaging, coherent anti-Stokes Raman scattering (CARS), stimulated Raman scattering (SRS), second-harmonic generation (SHG) and third-harmonic generation (THG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging (FLIM). After reviewing these imaging techniques, we shortly introduce chemometric methods and machine learning techniques, which are needed to use these imaging techniques in diagnostic applications.</p>","PeriodicalId":39880,"journal":{"name":"Recent Results in Cancer Research","volume":"216 ","pages":"795-812"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-invasive Imaging Techniques: From Histology to In Vivo Imaging : Chapter of Imaging in Oncology.\",\"authors\":\"Thomas Bocklitz, Anja Silge, Hyeonsoo Bae, Marko Rodewald, Fisseha Bekele Legesse, Tobias Meyer, Jürgen Popp\",\"doi\":\"10.1007/978-3-030-42618-7_25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this chapter, we will introduce and review molecular-sensitive imaging techniques, which close the gap between ex vivo and in vivo analysis. In detail, we will introduce spontaneous Raman spectral imaging, coherent anti-Stokes Raman scattering (CARS), stimulated Raman scattering (SRS), second-harmonic generation (SHG) and third-harmonic generation (THG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging (FLIM). After reviewing these imaging techniques, we shortly introduce chemometric methods and machine learning techniques, which are needed to use these imaging techniques in diagnostic applications.</p>\",\"PeriodicalId\":39880,\"journal\":{\"name\":\"Recent Results in Cancer Research\",\"volume\":\"216 \",\"pages\":\"795-812\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Recent Results in Cancer Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-030-42618-7_25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Results in Cancer Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-030-42618-7_25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Non-invasive Imaging Techniques: From Histology to In Vivo Imaging : Chapter of Imaging in Oncology.
In this chapter, we will introduce and review molecular-sensitive imaging techniques, which close the gap between ex vivo and in vivo analysis. In detail, we will introduce spontaneous Raman spectral imaging, coherent anti-Stokes Raman scattering (CARS), stimulated Raman scattering (SRS), second-harmonic generation (SHG) and third-harmonic generation (THG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging (FLIM). After reviewing these imaging techniques, we shortly introduce chemometric methods and machine learning techniques, which are needed to use these imaging techniques in diagnostic applications.