Olympus NanoZoomer RS Whole Slide Imaging System

奥林巴斯 NanoZoomer RS 全玻片成像系统

• 批准号: 7793740
• 负责人: Brendan F Boyce
• 金额: $ 34.01万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-13 至 2011-05-12
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7793740
• 关键词: Animals; Arts; Benign; Biological Assay; Cells; Data; Devices; Disease; Equipment; Experimental Models; Fluorescence; Fluorescence Microscopy; Fluorescent in Situ Hybridization; Freezing; Funding; Gene Expression; Genomics; Glass; Goals; Human Resources; Image; Image Analysis; Immunologics; Individual; Inflammation; Institution; Lung; Magnetic Resonance Imaging; Malignant - descriptor; Medical center; Methods; Microscopic; Microtomy; Musculoskeletal; Normal tissue morphology; Occupations; Paraffin; Paraffin Embedding; Pathologic Processes; Pathology; Process; Prostatic; Proteins; Proteomics; Research; Research Personnel; Scanning; Severities; Slide; Specimen; Staining method; Stains; System; Three-Dimensional Image; Time; Tissue Microarray; Tissue Sample; Tissues; Training; Translational Research; United States National Institutes of Health; Universities; Wound Healing; Writing; cancer type; cell type; digital; human disease; human tissue; investigator training; neuromuscular; research study; time use

DESCRIPTION (provided by applicant): We propose to purchase an Olympus NanoZoomer Digital Pathology slide imaging system with a fluorescence microscopy attachment to support at least 26 NIH funded investigators at the University of Rochester Medical Center. Microscopic analysis of thin sections of benign and malignant tissues from humans and from animals in experimental models of human diseases is a common end-point of many research studies. Analysis of tissue samples typically begins with microscopic assessment of paraffin-embedded H&E-stained sections on glass slides to distinguish normal from pathologic processes, followed by analysis of further sections stained with special histochemical or immunohistochemical (IHC) assays to detect enzymatic activity or particular proteins in individual cells. These assays help distinguish one cell type from another, identify different types of cancers, and assess the severity of inflammation or the extent of destruction of normal tissues and their replacement by repair tissue. Quantitative analysis of these various features of tissues can be done using time-consuming, labor-intensive methods and various image analysis systems. Other analyses include fluorescence microscopy or fluorescence in-situ hybridization (FISH) on frozen or paraffin sections. A drawback of these methods is that IHC staining and fluorescence fades with time and fluorescence is quenched during analysis. Thus, subsequent analysis by others to confirm an interpretation may be difficult or impossible. Automatic scanning of these types of slides and storage of the images would be a great advance over current methods. Another major challenge in studies examining protein and gene expression is the time it takes trained personnel to accurately score tissue sections, especially with the advent of more target proteins from proteomic and genomic studies, and the increasing use of tissue microarrays. This has produced a bottleneck in many translational research studies at our institution, which would be solved by having a shared whole slide image analyzer system. The long-term objective of this proposal is to provide a state-of-the-art device and technical support to scan glass slides automatically with the aim of helping researchers reach their scientific goals faster and produce analytic data more quickly and accurately than is possible with equipment currently available at URMC. The 46 NIH-funded projects to be supported cover a wide array of disorders, including immunologic, musculoskeletal, pulmonary, prostatic, and neuromuscular benign and malignant diseases. The Specific Aims are to 1) Scan slides of tissues from a broad range of studies; 2) Store these images for a defined period until they are captured by investigators; 3) Train investigators to use the NanoZoomer's morphometric capabilities to allow them to carryout morphometric analysis on the stored images, construct 3-D images and match stored images with those acquired using other devices, such as <CT or MRI, from specimens before they were processed into paraffin. These efforts should accelerate the research of investigators and help them get new data faster, with the goal of assisting them to write new proposals and thus generate new jobs at URMC.

描述（由申请人提供）：我们建议购买带有荧光显微镜附件的Olympus纳米纳米纳员数字病理学幻灯片成像系统，以支持至少26位NIH资助的罗切斯特医学中心的NIH资助研究人员。在人类疾病实验模型中，对人类和动物的良性和恶性组织的薄切片的微观分析是许多研究的常见终点。组织样品的分析通常始于对载玻片上的石蜡染色的H＆E染色切片的显微镜评估，以将正常与病理过程区分开，然后分析用特殊的组织化学或免疫组织化学或免疫组织化学（IHC）测定的进一步切片，以检测酶促活性或特定蛋白质中的单个细胞中的特定蛋白。这些测定有助于将一种细胞类型与另一种细胞类型区分开，确定不同类型的癌症，并评估炎症的严重程度或正常组织的破坏程度及其被修复组织替代的程度。可以使用时间耗费，劳动密集型方法和各种图像分析系统来对组织的这些各种特征进行定量分析。其他分析包括在冷冻或石蜡切片上进行荧光显微镜或荧光原位杂交（FISH）。这些方法的缺点是IHC染色和荧光随时间和荧光在分析过程中散落。因此，他人的随后分析以确认解释可能很困难或不可能。自动扫描这些类型的幻灯片和图像存储将是当前方法的巨大进步。研究蛋白质和基因表达的研究的另一个主要挑战是，需要训练有素的人员准确评分组织切片的时间，尤其是在蛋白质组学和基因组研究中更多靶蛋白的出现以及组织微阵列的使用日益增加。这在我们机构的许多翻译研究中产生了瓶颈，这将通过拥有共享的整个幻灯片图像分析仪系统来解决。该提案的长期目标是提供最先进的设备和技术支持，以自动扫描载玻片，以帮助研究人员更快地实现其科学目标，并比当前在URMC上可用的设备更快，更准确地生成分析数据。受支持的46个NIH资助的项目涵盖了各种各样的疾病，包括免疫，肌肉骨骼，肺，前列腺和神经肌肉良性和恶性疾病。具体目的是1）从广泛的研究中扫描组织的扫描； 2）将这些图像存储在定义的时期内，直到被调查人员捕获为止； 3）训练研究人员使用纳米化学器的形态计量学能力，使他们能够在存储的图像上进行形态分析，构造3-D图像和匹配存储的图像与使用其他设备（例如<ct或MRI）获取的图像，例如<ct或MRI，在将它们加工成石蜡之前。这些努力应加速研究人员的研究，并帮助他们更快地获取新数据，以帮助他们编写新的建议，从而在URMC创造新的工作。

项目成果

Inducible depletion of adult skeletal muscle stem cells impairs the regeneration of neuromuscular junctions.

• DOI: 10.7554/elife.09221
• 发表时间: 2015-08-27
• 期刊: eLife
• 影响因子: 7.7
• 作者: Liu W;Wei-LaPierre L;Klose A;Dirksen RT;Chakkalakal JV
• 通讯作者: Chakkalakal JV