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

• 批准号: 10445570
• 负责人: JONATHAN MAMOU
• 金额: $ 44.6万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 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/10445570
• 关键词: Acoustic Microscopy; Acoustics; Biological; Biological Availability; Biological Testing; Biomechanics; Cancer Patient; Cancerous; Clinical; Code; 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; Mind; Modality; Modeling; Modulus; Morphologic artifacts; Motor; Myopia; National Institute of General Medical Sciences; Pathogenesis; Physics; Play; Plug-in; Property; 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; base; 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; 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; ultrasound; user-friendly

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.)

河滨研究，布里斯托尔大学（布里斯托尔，英国）和大学保罗·萨巴蒂尔（图卢兹， 法国）提出了开发下一代定量声学显微镜（QAM）系统的提议。具体而言，数据 - 将首次采用科学和编码兴趣方法来获得QAM技术以产生更好的形象 质量，减少扫描时间，更大的使用易用性，并为新一代的小型低成本铺平道路 用户友好的QAM仪器。 QAM允许形成高分辨率（即在250 MHz时<7 µm）的声学图 厚度小于12 µm的组织切片的机械性能。这些数据在众多中具有很大的价值 临床前研究。此类属性地图当前无法获得任何其他微观成像模式， 在这个拟议项目中，新一代的QAM技术因成功而成为可能 在商业和学术研究环境中，研究实验室和显微镜套件的宽度。 这种新一代的QAM仪器可以由对QAM了解有限的技术人员使用 方式，它们的使用不会比使用常规的明亮场显微镜更复杂。这些小说 将使用已经可用的分辨率目标，幻像和生物组织来证明QAM的方法 （来自近视的几内亚猪模型和抵消人淋巴结的眼部组织样品）。在此过程中 项目，最佳方法将纳入能够产生超细节的原型QAM（PQAM）仪器 空间分辨率（<2 µm）图像要快得多（<1分钟），成本要低得多（<$ 40k） QAM系统。此外，使用PQAM将是````转键''（即，不需要技术知识，少于1小时 训练。）