MRC Laboratory of Molecular Biology, Cambridge, UK.
Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
F1000Res. 2021 Mar 30;10:258. doi: 10.12688/f1000research.51755.2. eCollection 2021.
Techniques for calcium imaging were first demonstrated in the mid-1970s, whilst tools to analyse these markers of cellular activity are still being developed and improved today. For image analysis, custom tools were developed within labs and until relatively recently, software packages were not widely available between researchers. We will discuss some of the most popular methods for calcium imaging analysis that are now widely available and describe why these protocols are so effective. We will also describe some of the newest innovations in the field that are likely to benefit researchers, particularly as calcium imaging is often an inherently low signal-to-noise method. Although calcium imaging analysis has seen recent advances, particularly following the rise of machine learning, we will end by highlighting the outstanding requirements and questions that hinder further progress and pose the question of how far we have come in the past sixty years and what can be expected for future development in the field.
钙成像技术最早于 20 世纪 70 年代中期得到证实,而用于分析这些细胞活动标记物的工具仍在不断开发和完善。在图像分析方面,实验室内部开发了定制工具,直到最近,研究人员之间还没有广泛使用软件包。我们将讨论一些现在广泛可用的最受欢迎的钙成像分析方法,并描述为什么这些方案如此有效。我们还将描述该领域的一些最新创新,这些创新可能使研究人员受益,特别是因为钙成像通常是一种固有的低信噪比方法。尽管钙成像分析最近取得了一些进展,特别是在机器学习兴起之后,我们最后将重点介绍阻碍进一步进展的突出要求和问题,并提出一个问题,即在过去的六十年里我们已经走了多远,以及在该领域未来的发展中可以期待什么。