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

超分辨率显微镜已经打破了光学衍射的障碍，使生物学家能够以接近电子显微镜的分辨率观察分子结构。最佳分辨率（XY：<20 nm; Z：<50 nm）的荧光团的精确定位是使用单分子定位显微镜（SMLM）获得的，该显微镜基于离散荧光团的重复激活（闪烁），离散荧光团的精确定位是使用点扩散函数（PSF）的高斯拟合来确定的。通过将3D单分子定位数据集建模为点云，这是一种在3D视觉计算中使用的成熟表示，我们建立了分析方法来定义完整细胞中大分子复合物的结构。caveolin-1是~100 nm小窝的关键结构成分，其无监督聚类分析和多阈值模块性分析定义了小窝外壳结构的模块性，并显示较小的非小窝Cav 1支架相互作用形成较大的支架和小窝。我们已经开始与Quorum Technologies Inc讨论改进我们的软件，提供全面的文档和清晰的用户界面，以开发一个独立的软件包，用于任何SMLM显微镜系统。本申请旨在通过AdventusResearch + Consulting Inc（圭尔夫，安大略）支持市场评估，以评估该技术的商业可行性，包括验证该技术的潜在市场规模、验证最终用户需求和购买意愿/能力。应用计算成像、网络建模和基于机器学习的3D模式分析工具，SMLM代表了一种高度创新和强大的方法来定义亚细胞结构中的分子结构和分子相互作用，这将导致HQP在这一新兴领域的多学科培训。

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.