Fricker Mark D, Moger Julian, Littlejohn George R, Deeks Michael J
Department of Plant Sciences, University of Oxford, Oxford, U.K.
Department of Physics, University of Exeter, Exeter, Devon, U.K.
J Microsc. 2016 Aug;263(2):181-91. doi: 10.1111/jmi.12403. Epub 2016 May 4.
Cell theory has officially reached 350 years of age as the first use of the word 'cell' in a biological context can be traced to a description of plant material by Robert Hooke in his historic publication 'Micrographia: or some physiological definitions of minute bodies'. The 2015 Royal Microscopical Society Botanical Microscopy meeting was a celebration of the streams of investigation initiated by Hooke to understand at the subcellular scale how plant cell function and form arises. Much of the work presented, and Honorary Fellowships awarded, reflected the advanced application of bioimaging informatics to extract quantitative data from micrographs that reveal dynamic molecular processes driving cell growth and physiology. The field has progressed from collecting many pixels in multiple modes to associating these measurements with objects or features that are meaningful biologically. The additional complexity involves object identification that draws on a different type of expertise from computer science and statistics that is often impenetrable to biologists. There are many useful tools and approaches being developed, but we now need more interdisciplinary exchange to use them effectively. In this review we show how this quiet revolution has provided tools available to any personal computer user. We also discuss the oft-neglected issue of quantifying algorithm robustness and the exciting possibilities offered through the integration of physiological information generated by biosensors with object detection and tracking.
细胞学说正式迎来了它的350岁生日,因为“细胞”一词在生物学语境中的首次使用可以追溯到罗伯特·胡克在其具有历史意义的著作《显微图谱:或微小物体的一些生理学定义》中对植物材料的描述。2015年皇家显微镜学会植物显微镜会议是对胡克发起的一系列研究的庆祝活动,这些研究旨在在亚细胞尺度上理解植物细胞的功能和形态是如何产生的。会议上展示的许多工作以及授予的荣誉会员资格,都反映了生物成像信息学在从显微照片中提取定量数据方面的先进应用,这些数据揭示了驱动细胞生长和生理过程的动态分子过程。该领域已经从以多种模式收集大量像素发展到将这些测量与具有生物学意义的物体或特征联系起来。额外的复杂性涉及物体识别,这需要计算机科学和统计学方面的不同类型的专业知识,而生物学家往往对此难以理解。目前正在开发许多有用的工具和方法,但我们现在需要更多的跨学科交流来有效地使用它们。在这篇综述中,我们展示了这场悄然发生的革命是如何为任何个人电脑用户提供可用工具的。我们还讨论了经常被忽视的量化算法稳健性的问题,以及通过将生物传感器产生的生理信息与物体检测和跟踪相结合所提供的令人兴奋的可能性。