Department of Computer Science and Electrical Engineering, Montefiore Institute, University of Liège, 4000 Liège, Belgium.
Laboratory for Organogenesis and Regeneration (LOR), GIGA Institute, University of Liège, 4000 Liège, Belgium.
Biomolecules. 2023 Dec 14;13(12):1797. doi: 10.3390/biom13121797.
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in their environment or poor dietary conditions. In aquaculture, skeletal deformities are affecting fish health, and economic losses are incurred by fish farmers. This survey paper focuses on showcasing the cutting-edge image analysis tools and techniques based on artificial intelligence that are currently applied in the analysis of bone-related deformities in aquaculture and model fish. These methods and tools play a significant role in improving research by automating various aspects of the analysis. This paper also sheds light on some of the hurdles faced when dealing with high-content bioimages and explores potential solutions to overcome these challenges.
检测模式生物和水产养殖鱼类的骨骼或骨骼相关畸形对于众多的医学研究至关重要。在医学研究中,患有骨骼相关疾病的模式生物是其环境中各种化学诱导毒素或不良饮食条件的潜在指标。在水产养殖中,骨骼畸形会影响鱼类的健康,给养鱼户带来经济损失。本综述论文重点介绍了当前应用于水产养殖和模式生物骨骼相关畸形分析的基于人工智能的先进图像分析工具和技术。这些方法和工具通过自动化分析的各个方面,对研究的改进起到了重要作用。本文还探讨了处理高内涵生物图像时所面临的一些障碍,并探索了克服这些挑战的潜在解决方案。