同轴全息显微镜的三维压缩感知去卷积体积重建

Three-dimensional compressive sensing deconvolution volume reconstruction of inline holographic microscope

数字同轴全息显微镜是一种二维成像技术,最近已被应用于三维成像,然而在三维图像生成的过程中,物体的失焦图像成为三维体积重建上获取明显三维特征的重要障碍。将压缩感知层析重建算法与去卷积算法相结合,显著减少重建中散斑噪声和失焦伪影对目标的影响。结果显示,与单一的三维去卷积重建图像相比,对于重叠的金属丝,光学标尺,生物棉花切片以及微米级聚苯乙烯颗粒的三维堆积图像具有更好的聚焦效果。

Digital coaxial holographic microscope is a two-dimensional imaging technology,which has recently been applied to three-dimensional imaging.However,in the process of three-dimensional image generation,the outof-focus image of the object becomes an important obstacle to obtain obvious three-dimensional features in three-dimensional volume reconstruction.Combining the compressed perceptual tomographic reconstruction algorithm with the deconvolution algorithm Significantly reduce the impact of speckle noise and out-of-focus artifacts on the target during reconstruction.The results show that the three-dimensional stacked images of the overlapping wire,the optical scale,the bio-cotton slice and the micro-sized polystyrene particles have a better focusing effect than the single deconvolution there-dimensional reconstructed image.