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）：我们建议购买奥林巴斯NanoZoomer数字病理切片成像系统，带有荧光显微镜附件，以支持罗切斯特大学医学中心至少26名NIH资助的研究人员。在人类疾病的实验模型中，对人类和动物的良性和恶性组织切片进行显微分析是许多研究的共同终点。组织样本的分析通常首先在玻片上对石蜡包埋的h&e染色切片进行显微镜评估，以区分正常和病理过程，然后对进一步染色的切片进行特殊组织化学或免疫组织化学（IHC）分析，以检测单个细胞中的酶活性或特定蛋白质。这些检测有助于区分不同类型的细胞，识别不同类型的癌症，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所取代。对组织的这些不同特征的定量分析可以使用耗时、劳动密集型的方法和各种图像分析系统来完成。其他分析包括荧光显微镜或荧光原位杂交（FISH）对冷冻或石蜡切片。这些方法的缺点是免疫组化染色和荧光随着时间的推移而褪色，荧光在分析过程中被猝灭。因此，由其他人进行后续分析以确认一种解释可能是困难的或不可能的。这些类型的幻灯片的自动扫描和图像存储将是目前方法的一大进步。研究蛋白质和基因表达的另一个主要挑战是训练有素的人员需要花费时间来准确地对组织切片进行评分，特别是随着蛋白质组学和基因组学研究中更多目标蛋白质的出现，以及组织微阵列的日益使用。这在我们机构的许多转化研究中产生了瓶颈，这将通过共享整个幻灯片图像分析系统来解决。该提案的长期目标是提供最先进的设备和技术支持来自动扫描玻片，以帮助研究人员更快地达到他们的科学目标，并比URMC现有的设备更快、更准确地产生分析数据。美国国立卫生研究院资助的46个项目将得到支持，涵盖广泛的疾病，包括免疫、肌肉骨骼、肺部、前列腺和神经肌肉良性和恶性疾病。具体目标是：1)从广泛的研究中扫描组织的幻灯片；2)将这些图像保存一段时间，直到被调查人员捕获；3)培训研究人员使用NanoZoomer的形态测量功能，使他们能够对存储的图像进行形态分析，构建3d图像，并将存储的图像与使用其他设备（如<CT或MRI）从加工成石蜡的标本中获得的图像进行匹配。这些努力将加速研究人员的研究，帮助他们更快地获得新数据，目标是帮助他们撰写新的提案，从而在URMC创造新的就业机会。

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