• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肿瘤学中细胞和组织自发荧光的多光谱和超高光谱无创成像的新兴临床应用。

Emerging clinical applications in oncology for non-invasive multi- and hyperspectral imaging of cell and tissue autofluorescence.

机构信息

Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia.

Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia.

出版信息

J Biophotonics. 2023 Sep;16(9):e202300105. doi: 10.1002/jbio.202300105. Epub 2023 Jun 15.

DOI:10.1002/jbio.202300105
PMID:37272291
Abstract

Hyperspectral and multispectral imaging of cell and tissue autofluorescence is an emerging technology in which fluorescence imaging is applied to biological materials across multiple spectral channels. This produces a stack of images where each matched pixel contains information about the sample's spectral properties at that location. This allows precise collection of molecularly specific data from a broad range of native fluorophores. Importantly, complex information, directly reflective of biological status, is collected without staining and tissues can be characterised in situ, without biopsy. For oncology, this can spare the collection of biopsies from sensitive regions and enable accurate tumour mapping. For in vivo tumour analysis, the greatest focus has been on oral cancer, whereas for ex vivo assessment head-and-neck cancers along with colon cancer have been the most studied, followed by oral and eye cancer. This review details the scope and progress of research undertaken towards clinical translation in oncology.

摘要

细胞和组织自发荧光的高光谱和多光谱成像是一项新兴技术,其中荧光成像是在多个光谱通道上应用于生物材料。这会产生一叠图像,其中每个匹配的像素都包含有关该位置样品光谱特性的信息。这允许从广泛的天然荧光团中精确收集具有分子特异性的数据。重要的是,无需染色即可收集直接反映生物学状态的复杂信息,并且可以在不进行活检的情况下对组织进行原位表征。对于肿瘤学,可以避免从敏感区域采集活检,并能够进行准确的肿瘤绘图。对于体内肿瘤分析,最大的重点是口腔癌,而对于离体评估,头颈部癌症以及结肠癌是研究最多的,其次是口腔癌和眼癌。这篇综述详细介绍了在肿瘤学临床转化方面所进行的研究的范围和进展。

相似文献

1
Emerging clinical applications in oncology for non-invasive multi- and hyperspectral imaging of cell and tissue autofluorescence.肿瘤学中细胞和组织自发荧光的多光谱和超高光谱无创成像的新兴临床应用。
J Biophotonics. 2023 Sep;16(9):e202300105. doi: 10.1002/jbio.202300105. Epub 2023 Jun 15.
2
Clinical applications of non-invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology.细胞和组织自发荧光的非侵入性多光谱和高光谱成像在肿瘤学以外的临床应用。
J Biophotonics. 2023 Apr;16(4):e202200264. doi: 10.1002/jbio.202200264. Epub 2023 Jan 24.
3
Clinical label-free biochemical and metabolic fluorescence lifetime endoscopic imaging of precancerous and cancerous oral lesions.临床无标记生物化学和代谢荧光寿命内窥式成像术在癌前病变和癌症口腔病变中的应用。
Oral Oncol. 2020 Jun;105:104635. doi: 10.1016/j.oraloncology.2020.104635. Epub 2020 Apr 2.
4
Identifying molecular contributors to autofluorescence of neoplastic and normal colon sections using excitation-scanning hyperspectral imaging.利用激发扫描高光谱成像技术鉴定肿瘤和正常结肠切片自发荧光的分子贡献者。
J Biomed Opt. 2018 Dec;24(2):1-11. doi: 10.1117/1.JBO.24.2.021207.
5
Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.用于肿瘤边缘评估的无标记反射率高光谱成像:癌症患者手术标本的初步研究
J Biomed Opt. 2017 Aug;22(8):1-7. doi: 10.1117/1.JBO.22.8.086009.
6
Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo.应用非侵入性、无标记的光学分析技术,检测胚胎植入前内细胞团中的非整倍体。
Hum Reprod. 2021 Dec 27;37(1):14-29. doi: 10.1093/humrep/deab233.
7
Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients.用于癌症患者组织标本手术切缘评估的无标记高光谱成像及定量方法
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:4041-4045. doi: 10.1109/EMBC.2017.8037743.
8
Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging.使用无标记高光谱成像技术对癌症患者手术组织标本进行肿瘤边缘评估。
Proc SPIE Int Soc Opt Eng. 2017 Jan-Feb;10054. doi: 10.1117/12.2249803. Epub 2017 Feb 14.
9
Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging.使用定量光谱成像技术检测手术标本中的头颈部癌症。
Clin Cancer Res. 2017 Sep 15;23(18):5426-5436. doi: 10.1158/1078-0432.CCR-17-0906. Epub 2017 Jun 13.
10
Hyperspectral imaging and evaluation of surgical margins: where do we stand?高光谱成象和手术边界评估:我们处于什么位置?
Curr Opin Otolaryngol Head Neck Surg. 2024 Apr 1;32(2):96-104. doi: 10.1097/MOO.0000000000000957. Epub 2024 Jan 3.

引用本文的文献

1
Integration of hyperspectral imaging and transcriptomics from individual cells with SpectralSeq.利用SpectralSeq将高光谱成像与单个细胞的转录组学相结合。
Genome Res. 2025 Aug 1;35(8):1809-1820. doi: 10.1101/gr.280014.124.
2
Optical histopathology based on the nonlabeling analysis with multiphoton excitation imaging.基于多光子激发成像的非标记分析的光学组织病理学。
Pathol Int. 2025 Jan;75(1):1-10. doi: 10.1111/pin.13498. Epub 2024 Dec 11.
3
Flap Monitoring Techniques: A Review.皮瓣监测技术:综述
J Clin Med. 2024 Sep 14;13(18):5467. doi: 10.3390/jcm13185467.
4
Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors.拉曼光谱和自发荧光光谱用于脑肿瘤手术治疗期间肿瘤组织的原位识别。
J Neurooncol. 2024 Dec;170(3):543-553. doi: 10.1007/s11060-024-04809-w. Epub 2024 Aug 28.
5
Fabrication and Characterization of Brain Tissue Phantoms Using Agarose Gels for Ultraviolet Vision Systems.用于紫外视觉系统的琼脂糖凝胶脑组织体模的制备与表征
Gels. 2024 Aug 20;10(8):540. doi: 10.3390/gels10080540.
6
Single cell, Label free Characterisation of Human Mesenchymal Stromal cell Stemness and Future Growth Potential by Autofluorescence Multispectral Imaging.单细胞,无标记人类间充质基质细胞干性和未来生长潜能的自体荧光多光谱成像特征。
Stem Cell Rev Rep. 2024 Nov;20(8):2283-2292. doi: 10.1007/s12015-024-10778-4. Epub 2024 Aug 27.
7
Multispectral imaging for characterizing autofluorescent tissues.多光谱成像用于特征分析自体荧光组织。
Sci Rep. 2024 May 27;14(1):12084. doi: 10.1038/s41598-024-61020-7.
8
Quantitative melanoma diagnosis using spectral phasor analysis of hyperspectral imaging from label-free slices.使用来自无标记切片的高光谱成像的光谱相量分析进行黑色素瘤定量诊断。
Front Oncol. 2023 Nov 17;13:1296826. doi: 10.3389/fonc.2023.1296826. eCollection 2023.