MRI: Acquisition of a High-Throughput Fluorescence Slide-Scanner Microscope for the University of Oregon Histology Core Facility

俄勒冈大学尤金分校获奖，以支持购买高通量荧光载玻片扫描仪成像系统。生物标本的高通量分析对于推进生命科学的许多领域越来越重要。一个关键的瓶颈，特别是在组织标本的研究中，是需要限制数据采集速度的人工步骤。新的载玻片扫描显微镜将自动化许多手动步骤，以消除关键瓶颈，并使俄勒冈大学及其他地方的研究人员能够高通量分析生物样本。新仪器将安置在俄勒冈大学共享的组织学和基因修饰研究核心设施中。作为核心设施的一部分，该仪器将加强本科生、研究生和博士后学者的培训，掌握尖端显微镜方法、先进的图像分析、“大数据”和其他关键的定量技能。该系统将在夏季REU项目期间进一步加快学生研究，并将用于推广项目并与邻近机构共享。新系统将用于广泛的生物学研究，包括基因表达、解剖重建和组织分析，以及为本科生和研究生的课程和培训做出贡献。这种自动化仪器的两个特点将改变UO研究人员进行这类研究的能力。首先，它自动对大面积标本进行成像，将各个高倍率视野拼接成单一的高分辨率图像。其次，它可以自动处理大量的标本，自动加载机能够连续处理多达200张幻灯片。这些能力将使研究人员能够获得人工成像无法处理的完整数据集，从而打开新类型的生物学问题。该仪器同时具有亮场和荧光能力，使广泛的应用成为可能，包括基因表达的原位杂交分析、大规模神经组织的重建以及解剖和细胞结构的量化。这些研究的结果将在同行评议的期刊上传播，通过在科学会议上发表，并作为公共宣传工作的一部分。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

An award is made to the University of Oregon Eugene to support the purchase of a high-throughput fluorescent slide-scanner imaging system. High throughput analysis of biological specimens is increasingly essential for advancing many fields of the life sciences. A key bottleneck, particularly in the study of histological specimens, is the need for manual steps that limit the speed of data acquisition. The new slide scanning microscope will automate many of the manual steps to remove critical bottlenecks and enable high throughput analysis of biological specimens by researchers at the University of Oregon and beyond. The new instrument will be housed in the University of Oregon shared Histology and Genetic Modification Research Core Facility. As part of a core facility, this instrument will enhance training of undergraduate and graduate students and postdoctoral scholars with cutting edge microscopy approaches, advanced image analysis, “big data”, and other key quantitative skills. The system will further accelerate student research during summer REU programs and will also be used in outreach programs and shared with neighboring institutions.The new system will be used for a wide range of biological studies, including gene expression, anatomical reconstructions, and tissue analysis, as well as contributing to undergraduate and graduate coursework and training. Two features of this automated instrument will transform the ability of UO researchers to perform these types of studies. First, it automatically images large area specimens, stitching together individual high magnification fields of view into a single high-resolution image. Second, it can automatically process a large number of specimens, with an autoloader capable of processing up to 200 slides in succession. These capabilities will allow researchers to acquire complete datasets that are simply not tractable with manual imaging, thereby opening up new types of biological questions. The instrument has both brightfield and fluorescent capabilities, enabling a wide range of applications including in situ hybridization analysis of gene expression, reconstruction of large-scale neural organization, and quantification of anatomical and cellular structures. Results from these studies will be disseminated in peer-reviewed journals, through presentation at scientific meetings, and as part of public outreach efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.