期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2020
卷号：18
页码：1287-1300
DOI：10.1016/j.csbj.2020.05.022
出版社：Computational and Structural Biotechnology Journal
摘要：Today, we are fully immersed into the era of 3D biology. It has been extensively demonstrated that 3D models: ( a ) better mimic the physiology of human tissues; ( b ) can effectively replace animal models; ( c ) often provide more reliable results than 2D ones. Accordingly, anti-cancer drug screenings and toxicology studies based on multicellular 3D biological models, the so-called “-oids” (e.g. spheroids, tumoroids, organoids), are blooming in the literature. However, the complex nature of these systems limit the manual quantitative analyses of single cells’ behaviour in the culture. Accordingly, the demand for advanced software tools that are able to perform phenotypic analysis is fundamental. In this work, we describe the freely accessible tools that are currently available for biologists and researchers interested in analysing the effects of drugs/treatments on 3D multicellular -oids at a single-cell resolution level. In addition, using publicly available nuclear stained datasets we quantitatively compare the segmentation performance of 9 specific tools.
关键词：Oncology ; Microscopy ; Cancer Spheroids ; 3D Segmentation ; Single-cell Analysis
