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Photoacoustic imaging is a functional imaging method based on the photoacoustic effect, which combines the high contrast of optical imaging and the low dispersion characteristics of acoustic imaging. It has been developed rapidly in recent years. Photoacoustic microscopy, as an important branch, is widely used in biomedical imaging due to its high resolution, high contrast, and non-destructive characteristics. Compared with other medical imaging techniques, photoacoustic microscopy is simple, effective, low-cost, and does not generate ionizing radiation. But due to the need to focus the laser strongly, the depth of field is limited. Currently, most photoacoustic microscopy adopts an array scanning mechanism. Limited by the imaging depth of field and inherent scanning methods, photoacoustic microscopy cannot achieve large-volume, highresolution, and high-speed imaging at the same time. High-speed and large-scale tissue imaging is of great significance for the study of response mechanisms and the development of physiological and pathological processes. It is conducive to make accurate judgments for disease diagnosis. For the problems of photoacoustic microscopy, this paper proposes a highresolution three-dimensional information fusion technology suitable for photoacoustic microscopy, which provides richer structural and functional information for related physiological and pathological research. Combining the tomographic features of the data collected by the photoacoustic microscopy system with the traditional Laplacian pyramid transform, the depth of field of the photoacoustic microscopy is expanded. Two sets of single-focus image data sets of virtual photoacoustic microscopy platforms are collected and processed by three-dimensional high-resolution information fusion technology. The results demonstrates that a complete large-scale three-dimensional high-resolution structure has been successfully realized, and the reliability of the method is verified.
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