Next Generation Quantitative Acoustic Microscopy for Biomedical Application

用于生物医学应用的下一代定量声学显微镜

基本信息

批准号：
10707063
负责人：
JONATHAN MAMOU
金额：
$ 43.27万
依托单位：
WEILL MEDICAL COLL OF CORNELL UNIV
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-20 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10707063
关键词：
Acoustic Microscopy Acoustics Biological Biological Testing Biomechanics Cancer Patient Cancerous Clinical Code Compensation Computing Methodologies Data Data Science Development Dictionary Disease Dyes Electronics Environment Fostering France Frequencies Generations Goals Hour Human Image Immunofluorescence Immunologic Industrialization Investigation Knowledge Laboratories Laboratory Research Machine Learning Maps Methods Microscope Microscopic Microscopy Modality Modeling Modulus Morphologic artifacts Motor Myopia National Institute of General Medical Sciences Pathogenesis Physics Play Property Relaxation Research Resolution Sampling Scanning Sclera Signal Transduction Specimen Speed Stains Structure System Techniques Technology Technology Development Study Testing Thick Thinness Time Tissue Sample Tissues Training Ultrafine Ultrasonography United Kingdom Universities clinical diagnostics cost data acquisition design electric impedance expectation experimental study flexibility guinea pig model image reconstruction imaging modality imaging properties imaging system improved innovation instrument interest light microscopy lymph nodes mechanical properties meter microscopic imaging next generation novel novel strategies pre-clinical prevent protein distribution prototype quantitative imaging restoration simulation sound success technology research and development tissue mapping ultra high resolution ultrasound user-friendly

项目摘要

Riverside Research, the University of Bristol (Bristol, United Kingdom), and the University Paul Sabatier (Toulouse, France) propose to develop the next generation of quantitative acoustic microscopy (QAM) systems. Specifically, data- science and coded-excitation approaches will be applied for the first time to QAM technology to yield better image quality, decreased scanning time, greater ease of use, as well as to pave the way for a new generation of novel, low-cost, user-friendly QAM instruments. QAM permits formation of fine-resolution (i.e., <7 µm at 250 MHz) maps of acoustic and mechanical properties of tissue sections that are <12 µm in thickness. These data can have great value in numerous preclinical investigations. Such property maps are not currently obtainable by any other microscopic-imaging modality, and the new generation of QAM technology made possible by success in this proposed project could become widespread in research laboratories and microscopy suites in commercial as well as academic research environments. Such new-generation QAM instruments could be used by technicians with limited knowledge of QAM and, in many ways, their use would be no more complicated than use of a conventional bright-field microscope. These novel approaches to QAM will be demonstrated using already available resolution targets, phantoms, and biological tissues (ocular-tissue samples from a guinea-pig model of myopia and cancerous human lymph nodes). During the course of this project, optimal methods will be incorporated in a prototype QAM (pQAM) instrument capable of producing ultra-fine spatial resolution (< 2 µm) images much faster (<1 min) and for a much lower cost (<$40k) than current state-of-the-art QAM systems. In addition, pQAM use will be ``turn-key'' (i.e., requiring no technical knowledge and less than 1 hour of training.)

Riverside Research、布里斯托大学（英国布里斯托尔）和保罗·萨巴蒂尔大学（图卢兹）法国）提议开发下一代定量声学显微镜（QAM）系统。科学和编码激励方法将首次应用于 QAM 技术，以产生更好的图像质量、减少扫描时间、提高易用性，并为新一代新颖、低成本、用户友好的 QAM 仪器可以形成高分辨率（即 250 MHz 时 <7 µm）的声学图。厚度 <12 µm 的组织切片的机械性能和机械性能这些数据在许多方面具有巨大的价值。目前任何其他显微成像方式都无法获得此类临床前研究。该项目的成功使新一代 QAM 技术成为可能广泛应用于商业和学术研究环境的研究实验室和显微镜套件中。这种新一代 QAM 仪器可供 QAM 知识有限的技术人员使用，并且在许多领域无论如何，它们的使用并不比使用传统的明场显微镜复杂。 QAM 方法将使用现有的分辨率目标、模型和生物组织进行演示（来自近视豚鼠模型和癌性人类淋巴结的眼组织样本）。项目中，最佳方法将被纳入能够产生超细颗粒的 QAM (pQAM) 原型仪器中与当前最先进的技术相比，空间分辨率 (< 2 µm) 成像速度更快（<1 分钟）且成本更低（<4 万美元）此外，pQAM 的使用将是“交钥匙”（即不需要任何技术知识，并且使用时间少于 1 小时）。训练。）