Mulrane Laoighse, Rexhepaj Elton, Penney Steve, Callanan John J, Gallagher William M
UCD School of Biomolecular and Biomedical Science, Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Expert Rev Mol Diagn. 2008 Nov;8(6):707-25. doi: 10.1586/14737159.8.6.707.
Virtual pathology, the process of assessing digital images of histological slides, is gaining momentum in today's laboratory environment. Indeed, digital image acquisition systems are becoming commonplace, and associated image analysis solutions are viewed by most as the next critical step in automated histological analysis. Here, we document the advances in the technology, with reference to past and current techniques in histological assessment. In addition, the demand for these technologies is analyzed with major players profiled. As there are several image analysis software programs focusing on the quantification of immunohistochemical staining, particular attention is paid to this application in this review. Oncology has been a primary target area for these approaches, with example studies in this therapeutic area being covered here. Toxicology-based image analysis solutions are also profiled as these are steadily increasing in popularity, especially within the pharmaceutical industry. Reinforced by the phenomenal growth of the virtual pathology field, it is envisioned that the market for automated image analysis tools will greatly expand over the next 10 years.
虚拟病理学,即评估组织学切片数字图像的过程,在当今的实验室环境中正日益兴起。事实上,数字图像采集系统已变得十分普遍,并且大多数人认为相关的图像分析解决方案是自动化组织学分析的下一个关键步骤。在此,我们参考组织学评估的过去和当前技术,记录该技术的进展。此外,分析了对这些技术的需求,并介绍了主要参与者。由于有几种图像分析软件程序专注于免疫组织化学染色的定量分析,因此本综述特别关注此应用。肿瘤学一直是这些方法的主要目标领域,这里涵盖了该治疗领域的实例研究。基于毒理学的图像分析解决方案也有介绍,因为这些方案的受欢迎程度正在稳步上升,尤其是在制药行业。受虚拟病理学领域惊人增长的推动,可以预见,未来10年自动化图像分析工具的市场将大幅扩张。