Reference number : GC-2017-Q4-01745, amendment number : , agreement type : G, recipient legal name : Tang, Shuo (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Plus Grants for universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : Food particles' shape, size and size distribution determine crucial product properties such as mouthfeel, texture,_x000D_
flavour, appearance and processability of raw materials, as well as shelf life. In order to produce food particles_x000D_
of consistent size and shape, it is very important to optimize and monitor manufacturing steps throughout the_x000D_
entire production process. Within the original engage project, we have explored the feasibility of combining_x000D_
microfluidic channel technology with an image sensor for rapid analysis of particles in food industry. To_x000D_
continue the development, we will further perform the experimental realization of digital in-line holography for_x000D_
food particle detection. We will utilize a microfluidic-based particle sampling method and a CMOS/CCD_x000D_
camera for achieving high-throughput characterization of food particles. With real-time food particle_x000D_
monitoring, it can potentially improve the food production quality., program purpose french : Food particles' shape, size and size distribution determine crucial product properties such as mouthfeel, texture,_x000D_
flavour, appearance and processability of raw materials, as well as shelf life. In order to produce food particles_x000D_
of consistent size and shape, it is very important to optimize and monitor manufacturing steps throughout the_x000D_
entire production process. Within the original engage project, we have explored the feasibility of combining_x000D_
microfluidic channel technology with an image sensor for rapid analysis of particles in food industry. To_x000D_
continue the development, we will further perform the experimental realization of digital in-line holography for_x000D_
food particle detection. We will utilize a microfluidic-based particle sampling method and a CMOS/CCD_x000D_
camera for achieving high-throughput characterization of food particles. With real-time food particle_x000D_
monitoring, it can potentially improve the food production quality., agreement title english : Real-time food particle detector, agreement title french : Real-time food particle detector, agreement number : EGP2, agreement value : 12500.0, agreement start date : 2018-03-22, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada