Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Edinburgh Pathology, Centre for Genomic & Experimental Medicine and CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK.
J Cell Sci. 2024 Oct 15;137(20). doi: 10.1242/jcs.262322. Epub 2024 Oct 30.
Bioimage analysis (BIA), a crucial discipline in biological research, overcomes the limitations of subjective analysis in microscopy through the creation and application of quantitative and reproducible methods. The establishment of dedicated BIA support within academic institutions is vital to improving research quality and efficiency and can significantly advance scientific discovery. However, a lack of training resources, limited career paths and insufficient recognition of the contributions made by bioimage analysts prevent the full realization of this potential. This Perspective - the result of the recent The Company of Biologists Workshop 'Effectively Communicating Bioimage Analysis', which aimed to summarize the global BIA landscape, categorize obstacles and offer possible solutions - proposes strategies to bring about a cultural shift towards recognizing the value of BIA by standardizing tools, improving training and encouraging formal credit for contributions. We also advocate for increased funding, standardized practices and enhanced collaboration, and we conclude with a call to action for all stakeholders to join efforts in advancing BIA.
生物影像分析(BIA)是生物学研究中的一个关键学科,通过创建和应用定量和可重复的方法,克服了显微镜下主观分析的局限性。在学术机构中建立专门的 BIA 支持对于提高研究质量和效率至关重要,并可以极大地推动科学发现。然而,培训资源的缺乏、职业道路的有限以及对生物影像分析师所做贡献的认识不足,阻碍了这一潜力的充分实现。本观点是最近《生物学家公司》研讨会“有效沟通生物影像分析”的结果,该研讨会旨在总结全球 BIA 景观,对障碍进行分类并提出可能的解决方案。它提出了通过标准化工具、改进培训和鼓励对贡献的正式认可来实现 BIA 价值得到认可的文化转变的策略。我们还主张增加资金、标准化实践和加强合作,并呼吁所有利益相关者共同努力,推进 BIA 的发展。