Braet Filip, Cai Weidong
School of Medical Sciences (Molecular & Cellular Biomedicine), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006 Australia.
Australian Centre for Microscopy and Microanalysis, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006 Australia.
Biophys Rev. 2024 Oct 30;16(6):679-684. doi: 10.1007/s12551-024-01250-1. eCollection 2024 Dec.
In modern biological microscopy, the explosion of data volume and complexity highlights the urgent need for specialised data management support roles. While traditional microscopy focuses on visual data presentation, the rapid increase in big data acquisition and data mining demands advanced handling and analysis. This gap underscores the need for "dry lab microscopists" or data experts skilled in microscopy data management, software interoperability, and AI-driven solutions. Job markets reflect this demand, pointing to the necessity for dedicated training programs. Integrating these specialists into research institutions is crucial for addressing digital data challenges and maintaining high standards in data integrity and analysis. Their role is essential for advancing research in the data-driven era.
在现代生物显微镜学中，数据量和复杂性的激增凸显了对专业数据管理支持角色的迫切需求。传统显微镜学侧重于视觉数据呈现，而大数据采集和数据挖掘的迅速增长则需要先进的处理和分析方法。这一差距凸显了对“干式实验室显微镜专家”或精通显微镜数据管理、软件互操作性和人工智能驱动解决方案的数据专家的需求。就业市场反映了这一需求，表明需要专门的培训项目。将这些专家融入研究机构对于应对数字数据挑战以及维持数据完整性和分析的高标准至关重要。他们的角色对于推动数据驱动时代的研究至关重要。
