With the increased use of digital holography to observe biological events in three dimensions the need for autofocusing becomes essential. We introduced a modified image quality evaluation technique as a focus criterion in the reconstruction of digital holograms. The method employed was initially proposed by [Wang et al. (2008)] to evaluate image inpainting quality from three aspects: luminance, definition, and gradient similarity. We considered these criteria for automatic focusing, individually and in combination. Our numerical simulation and experimental results obtained from 96 holograms of planktonic organisms show that the combined approach provided more accurate results compared to the individual metrics. We propose the use of such combined criterion to implement autofocusing algorithms for serial holograms, such as from observations of performances of plankton behavior.

随着数字全息术越来越多地用于在三个维度上观察生物事件，对自动聚焦的需求变得至关重要。我们介绍了一种改进的图像质量评估技术，作为数字全息图重建中的重点标准。最初使用的方法是由[Wang et al。（2008）]从三个方面评估图像修复质量：亮度，清晰度和梯度相似性。我们考虑了自动或自动对焦的标准。我们从96个浮游生物的全息图获得的数值模拟和实验结果表明，与单独的度量相比，组合方法提供了更准确的结果。我们建议使用这种组合标准来实现序列全息图的自动聚焦算法，