Abstract: A large area deposition type additive manufacturing equipment is disclosed. The large area deposition type additive manufacturing equipment includes a light source module, a dynamic photomask module, a raw material tank and a deposition module. The light source module includes a plurality of light emitting members, a light diffusion member, a light enhancement member and a light emitting angle limiter. Light emitted from the light emitting members passes through the light diffusion member, the light enhancement member and the light emitting angle limiter to become a collimated curing light. The collimated curing light travels through a transparent member of the raw material tank and a dynamic photomask module to reach liquid photocurable material in the raw material tank, thereby curing the liquid photocurable material. The angle of emitted light ranges within ±30° with respect to a normal line of an incident plane of the light source module.

Abstract: A multi-packing tree (MPT) macro placer. The MPT macro placer comprises reading input files in a LEF/DEF format, creating a k-level binary multi-packing tree comprising k branch nodes each corresponding to one level and k+1 packing sub-trees each corresponding to one of the nodes and comprising a group of macros, optimizing the multi-packing tree according to a packing result thereof, and generating output files in a DEF format.

Abstract: A method of preparing magnetic bead type nasopharyngeal enzyme immunoassay reagents by polymerase chain reaction according to this invention offers in-vitro diagnostic reagents by means of utilizing nanotechnology. This method uses magnetic beads to coat EBV nuclear antigen (Epstein-Barr virus nuclear antigen, EBNA1) or early antigen (Early Antigen, EA). The use of polymerase chain reaction (polymerase Chain Reaction PCR) is for amplified detection. It is found that positive controls of different concentrations, after amplified by PCR, change in their brightness and concentration. That reveals the EBV antigens on the magnetic beads can specifically detect IgA antigens in the serum.

Abstract: A method for using a multi-welled micro-plate in radioimmunoassay (“RIA”) is disclosed to improve the performance of RIA. At first, there is provided a multi-welled micro-plate that can be dismantled and divided into multiple wells. Then, samples are filled into the wells of the multi-welled micro-plate for incubation. Washing, tracer-adding, incubation, and washing are executed. At a final step, the multi-welled micro-plate is separated into wells, and each of to the wells is put into a test tube for gamma counting by a gamma counter.

Abstract: A method for using a multi-welled micro-plate in radioimmunoassay (“RIA”) is disclosed to improve the performance of RIA. At first, there is provided a multi-welled micro-plate that can be dismantled and divided into multiple wells. Then, samples are filled into the wells of the multi-welled micro-plate for incubation. Washing, tracer-adding, incubation, and washing are executed. At a final step, the multi-welled micro-plate is separated into wells, and each of to the wells is put into a test tube for gamma counting by a gamma counter.

Abstract: A multi-packing tree (MPT) macro placer. The MPT macro placer comprises reading input files in a LEF/DEF format, creating a k-level binary multi-packing tree comprising k branch nodes each corresponding to one level and k+1 packing sub-trees each corresponding to one of the nodes and comprising a group of macros, optimizing the multi-packing tree according to a packing result thereof, and generating output files in a DEF format.

Abstract: A multi-packing tree (MPT) macro placer. The MPT macro placer comprises reading input files in a LEF/DEF format, creating a k-level binary multi-packing tree comprising k branch nodes each corresponding to one level and k+1 packing sub-trees each corresponding to one of the nodes and comprising a group of macros, optimizing the multi-packing tree according to a packing result thereof, and generating output files in a DEF format.