As a new nucleic acid detection technology, dPCR has been widely used in biomedicine and other fields. In order to further improve the detection efficiency of the existing dPCR detection system, a set of dPCR detection system based on large field of view fluorescence microscope is designed. The illumination system and filter module are designed in the microscope object space, and combines the compound eye illumination system to achieve a large area uniform illumination, the illumination area can reach 32mm×22mm, and the illumination uniformity can reach more than 80%. A method for counting and detecting petri dishes combined with neural network is proposed, which can effectively pick out the petri dishes that have evaporated in the petri dishes. The system only needs a few seconds from the camera exposure to the end of detection. Compared with traditional image stitching detection methods, the detection efficiency is improved significantly.