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In order to implement the acquisition and processing of signals from imaging systems, a data acquisition system based on FPGA was designed with the requirements of multi-channel, high-resolution and compactness. The data acquisition (DAQ) system uses a quad-channel 12-bit analog-to-digital converter (ADC) AD9228-65 as the front-end core chip, and a series of signal conditioning circuits to form the front-end system. FPGA is used as the data acquisition, logic control, data readout and processing. After preliminary testing, the DAQ system has the advantages of low power, low cost, high-speed, small size.

Coded-aperture imagers typically have a smaller field-of-view (FOV) than in un-collimated gamma imaging systems. However, sources out of the fully coded field-of-view (FCFOV) can cause pseudo hotspots on the wrong side of an image reconstructed using the cross-correlation method. In this work, we propose a neural network method to identify and localize the sources within the partially coded field-of-view (PCFOV). The model was trained using Monte Carlo simulation data and evaluated with both simulation and experimental data. The results showed that the proposed model can identify and localize sources with good classification accuracy, low positioning error, and strong robustness to the statistical noise.

Recently an immunological test for Echinococcus spp. antigens in dog faeces has been developed. The antigens appear to be carbohydrates, which survive proteolytic digestion and environmental degradation. For ELISA a capture antibody is used to capture the antigens, followed by a detection antibody. This paper describes a modification of the test whereby capture and detection antibodies are generated exclusively to the carbohydrate portion of the parasite tegument. Faecal extracts were heated to 70 °C overnight and the addition of foetal calf serum to the extracts was not necessary. The use of this modification as a surveillance tool in an extensive field trial of hydatid control in Western Sichuan is described. From 2003 onwards all dogs received a treatment with praziquantel pills in the spring and the autumn of each year. On each of six occasions 580 faecal samples were collected from 29 villages and analysed. Prevalence of Echinococcus spp. coproantigen-positive samples was 50% in year 2000, and decreased from 35% to 17% through 2003–2005. This coproantigen technique is now being used as part of the Chinese National Hydatid Disease Control Program, initially in 10 counties in Sichuan Province.

Control of hydatidosis is less effective without the support of dog-owners, and this support can only be obtained if the people have a clear understanding of the life-cycle of the hydatid parasite(s) and what risk factors contribute to human infections. Dissemination of this information is the biggest challenge for hydatid control. Participatory planning between dog-owners and community leaders should evaluate the possible control technologies, and should enable a choice of those aspects that suit the sociology and economic status of the particular community. Collection of baseline data is essential, as is on-going surveillance. Hydatid control should be mainly self-funded, which again requires the support of the dog-owner. A pilot hydatid control program for Tibetan herdsmen is described.