Biomedical Raman Imaging Workshop

生物医学拉曼成像研讨会

• 批准号: 10318774
• 负责人: Marcus T Cicerone
• 金额: $ 1万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10318774
• 关键词: Adopted; Adoption; Antibiotic susceptibility; Area; Biological; Biology; Brain; Caring; Chemicals; Clinical; Complex; Data Analyses; Detection; Development; Device or Instrument Development; Diagnosis; Diagnostic; Educational workshop; Environment; Excision; Fingerprint; Fruit; Generations; Healthcare; Histology; Image; Image Analysis; Imaging technology; In Situ; Label; Light; Machine Learning; Medical; Medicine; Methods; Molecular; Monitor; Nature; Paper; Pathogen detection; Photons; Physicians; Publishing; Raman Spectrum Analysis; Reporting; Role; Sampling; Scheme; Signal Transduction; Time; Tissues; Translating; Voice; base; clinical application; clinical practice; contrast imaging; imaging approach; imaging modality; improved; in vivo; innovation; liquid biopsy; screening; symposium; technique development; technology development; tool; tumor; vibration

Summary The purpose of the planned conference is to facilitate development of Raman-spectroscopy based clinical appli- cations. Raman scattering provides label-free contrast for imaging that derives from intrinsic molecular vibrations. Because it is label-free and reports in an unbiased way on all molecular species in a sample, it provides a holistic “view” of the chemical environment in clinical samples, and thus holds significant value as a diagnostic and treatment monitoring tool. While the phenomenon of Raman scattering has been known since 1920, and its clinical potential has been recognized for many decades, roadblocks including weak signal levels and complexity of its readout has precluded it from clinical use. These roadblocks are now being removed through innovations in instrument development and machine learning.

概括 计划召开的会议的目的是促进基于拉曼光谱的临床应用的开发 阳离子。 拉曼散射为源自内在分子振动的成像提供无标记对比度。 由于它是无标记的，并且以公正的方式报告样本中的所有分子种类，因此它提供了整体 临床样本中化学环境的“视图”，因此作为诊断和诊断具有重要价值 治疗监测工具。 虽然拉曼散射现象自 1920 年以来就已为人所知，但其临床潜力已被广泛认可。 几十年来，人们认识到，包括信号电平弱和读数复杂性在内的障碍已经排除了 从临床使用来看。现在，通过仪器开发和技术方面的创新，这些障碍正在被消除。 机器学习。