用于研究细胞中脂滴的无标记成像和量化技术的最新进展

IF 6 2区生物学 Q1 CELL BIOLOGY

Current Opinion in Cell Biology Pub Date : 2024-02-29 DOI:10.1016/j.ceb.2024.102342

Hyeonwoo Kim , Seungeun Oh , Seongsoo Lee , Kwang suk Lee , YongKeun Park

{"title":"用于研究细胞中脂滴的无标记成像和量化技术的最新进展","authors":"Hyeonwoo Kim , Seungeun Oh , Seongsoo Lee , Kwang suk Lee , YongKeun Park","doi":"10.1016/j.ceb.2024.102342","DOIUrl":null,"url":null,"abstract":"<div><p>Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explores label-free imaging techniques' applications in LD research. We discuss holotomography and vibrational spectroscopic microscopy, emphasizing their potential for studying LDs without molecular labels, and we highlight the growing integration of artificial intelligence. Clinical applications in disease diagnosis and therapy are also considered.</p></div>","PeriodicalId":50608,"journal":{"name":"Current Opinion in Cell Biology","volume":"87 ","pages":"Article 102342"},"PeriodicalIF":6.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent advances in label-free imaging and quantification techniques for the study of lipid droplets in cells\",\"authors\":\"Hyeonwoo Kim , Seungeun Oh , Seongsoo Lee , Kwang suk Lee , YongKeun Park\",\"doi\":\"10.1016/j.ceb.2024.102342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explores label-free imaging techniques' applications in LD research. We discuss holotomography and vibrational spectroscopic microscopy, emphasizing their potential for studying LDs without molecular labels, and we highlight the growing integration of artificial intelligence. Clinical applications in disease diagnosis and therapy are also considered.</p></div>\",\"PeriodicalId\":50608,\"journal\":{\"name\":\"Current Opinion in Cell Biology\",\"volume\":\"87 \",\"pages\":\"Article 102342\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Opinion in Cell Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0955067424000218\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Cell Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0955067424000218","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}

引用次数: 0

摘要

脂滴（LDs）曾一度被认为只是脂质的储存库，但由于其在新陈代谢、膜贩运以及肥胖和癌症等疾病状态等细胞过程中的复杂作用而获得认可。本综述探讨了无标记成像技术在脂质体研究中的应用。我们讨论了全息图像和振动光谱显微镜，强调了它们在无分子标记的情况下研究 LD 的潜力，并重点介绍了与人工智能日益紧密的结合。我们还考虑了疾病诊断和治疗中的临床应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Recent advances in label-free imaging and quantification techniques for the study of lipid droplets in cells

Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explores label-free imaging techniques' applications in LD research. We discuss holotomography and vibrational spectroscopic microscopy, emphasizing their potential for studying LDs without molecular labels, and we highlight the growing integration of artificial intelligence. Clinical applications in disease diagnosis and therapy are also considered.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Current Opinion in Cell Biology 生物-细胞生物学

CiteScore

14.60

自引率

1.30%

发文量

审稿时长

93 days

期刊介绍： Current Opinion in Cell Biology (COCEBI) is a highly respected journal that specializes in publishing authoritative, comprehensive, and systematic reviews in the field of cell biology. The journal's primary aim is to provide a clear and readable synthesis of the latest advances in cell biology, helping specialists stay current with the rapidly evolving field. Expert authors contribute to the journal by annotating and highlighting the most significant papers from the extensive body of research published annually, offering valuable insights and saving time for readers by distilling key findings. COCEBI is part of the Current Opinion and Research (CO+RE) suite of journals, which leverages the legacy of editorial excellence, high impact, and global reach to ensure that the journal is a widely read resource integral to scientists' workflow. It is published by Elsevier, a publisher known for its commitment to excellence in scientific publishing and the communication of reproducible biomedical research aimed at improving human health. The journal's content is designed to be an invaluable resource for a diverse audience, including researchers, lecturers, teachers, professionals, policymakers, and students.