The blood is one of the best indicators of health because blood circulates all body tissues and collects information. The COC(Cyclo Olefin Copolymer) has better various properties than PMMA(Polymethy Mechacrylate) and PC(Polycarbonate) that are widely used in biotechnology field. This paper presents a new method of plasma separation on the COC in terms of surface modification for the development of a disposable protein chip. The blood plasma separation device was composed of a whole blood inlet, microchannel with filtration region of micropillars, micropump with microheater, and a blood cell outlet. Micropump with microheater was designed by ANSYS and flow model in the microchannel was designed by CFD-ACE+ simulators. We successfully fabricated a polymer based microfluidic device for blood plasma separation by MEMS(Micro Electro Mechanical System) technology. By using this device, cell-free plasma was successfully obtained through the filtration from a drop of whole blood without external force of a syringe pump.
In this paper, we design and implement a concept-based image retrieval system using feature information, more specifically,
edge histogram description. The general edge histogram framework is a novel index mechanism which allows us to describe a content of images. However, there is a significant drawback in the framework that it can not accommodate a concept-based retrieval. Even if images are only conceptually related with user queries, it may be capable of proving them to be irrelevant since their features can be different each other. Our system adapts an edge histogram descriptor and includes a knowledge used for capturing concepts from images. In the knowledge base, a concept is expressed as some of templates, which can be described by common edge histograms for the images to represent the concept well. The templates can be generated by
clustering the training images related with a concept. Consequently, since an image can also be matched with some of the templates, our system is able to support an automatic mechanism for indexing the image with the concept. The indexing mechanism enables users to retrieve the images related with a query which is formulated with their intended concepts. In addition, we also demonstrate that our concept-based approach makes a favorable comparison with an approach based on color or edge features.