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In recent years, photoacoustic imaging as a high sensitivity nondestructive testing technology has been widely studied．It can image biological tissues according to the photoacoustic effect of biological tissues and the differences in optical absorption coefficients of various parts of biological tissues．At the same time, it has the high penetration characteristics of pure ultrasonic imaging and the high contrast characteristics of pure optical imaging, which can provide high resolution and high contrast tissue imaging. Therefore, it can be used as an important means to study the structure and function information of biological tissues, and it is one of the most important real-time medical imaging technologies in the future biomedical field．However, in photoacoustic microscopy, an important branch of photoacoustic imaging, in order to obtain tissue imaging with high resolution and high contrast, it often requires strong focusing, which makes the imaging depth of field smaller and cannot obtain a wide range of biological tissue structure and function information, which is not conducive to medical diagnosis．In order to solve this problem, a three-dimensional information fusion algorithm for photoacoustic microscopy imaging is proposed in this paper．Firstly, we use the virtual photoacoustic microscopy imaging platform to generate two sets of vascular data (only the focus position is different). Then we take out the B-scan data corresponding to the three-dimensional data set, and use the fusion algorithm based on wavelet transform to fuse them in turn．Finally, we use the maximum projection to restore the original data and the fused data, and compare the maximum projection maps before and after fusion．The experimental results show that the algorithm maintains the advantages of high resolution and high contrast, extends the depth of field and obtains a wide range of clear vascular structure.
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