作为工业数字图像质量评价在应用领域的重要延伸，光学显微图像定量评价主要通过对图像特征和属性进行分析计算，针对性地量化评估图像的质量。近年来，随着各类光学显微成像技术的蓬勃发展，图像定量化评价的重要性日益凸显，在总体图像处理中具有指导性作用。对现有的光学显微图像定量评价指标及相关算法进行总结，对各个算法的模型结构和性能表现进行讨论说明，阐述显微图像定量评价的应用和发展趋势，并对该领域目前所存在的问题和难点进行分析和展望。

Quantitative evaluation has emerged as a critical aspect of industrial digital image quality assessment, particularly in the field of optical microscopy. It primarily assesses the quality of optical microscopic images by analyzing their features and attributes. In recent years, the evolution of various optical microscopic technologies has highlighted the importance of quantitative image evaluation. Furthermore, it plays a pivotal role in guiding the overall image processing workflow. This review comprehensively examines quantitative evaluation indicators and their associated algorithms, focusing on their model structures and performances. Moreover, it addresses the current challenges in this domain, outlines the latest developments in the quantitative assessment of optical microscopic images, and suggests future research directions.