Market research study proposal for an assessment of market opportunities for application of 3D pattern analysis to single-molecule localization microscopy (SMLM)

评估将 3D 模式分析应用于单分子定位显微镜 (SMLM) 的市场机会的市场研究建议

• 批准号: 514313-2017
• 负责人: Nabi, Ivan
• 金额: $ 1.09万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=619094
• 关键词: Market; research; study; proposal; assessment

Super-resolution microscopy has broken the optical diffraction barrier, enabling biologists to visualizemolecular structures at resolutions approaching that of an electron microscope. The best resolution (XY:<20nm; Z: <50nm) is obtained using single molecule localization microscope (SMLM), based on the repeatedactivation (blinking) of discrete fluorophores whose precise localization is determined using a Gaussian fit ofthe point-spread function (PSF). By modeling 3D single-molecule localization data sets as a point cloud, awell-established representation used in 3D visual computing, we established analytical approaches to define thestructure of macromolecular complexes in intact cells. Unsupervised clustering analysis and multi-thresholdmodularity analysis of caveolin-1, a key structural component of ~100 nm caveolae, has defined the modularnature of the caveolae coat structure and shows that smaller non-caveolar Cav1 scaffolds interact to form largerscaffolds and caveolae. We have initiated discussion with Quorum Technologies Inc to refine our software,providing comprehensive documentation and a clear user interface, to develop a stand-alone package for usewith any SMLM microscope system. This application is to support a market assessment through AdventusResearch + Consulting Inc (Guelph, Ontario) to assess the commercial viability of this technology includingvalidation of the potential market size for the technology, validation of the end-user need andwillingness/ability to purchase. Application of computational imaging, network modelling, and machinelearning based 3D pattern analysis tools to SMLM represents a highly innovative and powerful approach todefine molecular structure and molecular interactions in subcellular structures that will lead to themultidisciplinary training of HQP in this burgeoning field.

超分辨率显微镜打破了光学衍射屏障，使生物学家能够在接近电子显微镜的分辨率下进入可视化分子结构。最佳分辨率（xy：<20nm; z：<50nm）是基于单个分子定位显微镜（SMLM）获得的，基于离散荧光团的重复激活（眨眼），其精确定位是使用点 - 传播函数的高斯拟合（ PSF）。通过将3D单分子定位数据集建模为一个点云，即3D视觉计算中使用的Awell建立的表示，我们建立了分析方法来定义完整细胞中大分子复合物的损害。 Caveolin-1（Caveolin-1）（〜100 nm Caveolae的关键结构成分）的无监督聚类分析和多阈值分析定义了Caveolae Coat结构的模块化，并表明较小的非Cavealar Cav1支架相互作用以形成大量的largerscaffolds and Caveolae和caveolae。我们已经与Quorum Technologies Inc进行了讨论，以完善我们的软件，提供全面的文档和清晰的用户界面，以开发一个独立的包装，用于使用任何SMLM显微镜系统。该应用程序是通过AdventUserearch + Consulting Inc（安大略省Guelph）来支持市场评估，以评估该技术的商业可行性，包括对技术的潜在市场规模进行验证，验证最终用户需求和购买能力/购买能力。基于计算成像，网络建模和基于机械学习的3D模式分析工具在SMLM中的应用代表了一种高度创新的和强大的方法，可以定义亚细胞结构中的分子结构和分子相互作用，这将导致在这个新兴领域中对HQP进行HQP的培训。