Market research study proposal for an assessment of market opportunities for application of 3D pattern analysis to single-molecule localization microscopy (SMLM)
Market research study proposal for an assessment of market opportunities for application of 3D pattern analysis to single-molecule localization microscopy (SMLM)
批准号:
514313-2017
负责人:
Nabi, Ivan
金额:
$1.09万
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
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
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英文摘要
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.
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