Calcium imaging analysis - how far have we come?
Calcium imaging analysis - how far have we come?
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DOI：
10.12688/f1000research.51755.2
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Zlatic M
中科院分区：
文献类型：
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作者：
Robbins M;Christensen CN;Kaminski CF;Zlatic M
钙成像技术在20世纪70年代中期首次展示，而分析这些细胞活动标记物的工具至今仍在开发和改进。对于图像分析，定制工具是在实验室内开发的，直到最近，研究人员之间还没有广泛使用的软件包。我们将讨论目前广泛可用的一些最流行的钙成像分析方法，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，这些创新可能会使研究人员受益，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进展，特别是在机器学习兴起之后，但我们将以突出的要求和问题结束，这些要求和问题阻碍了进一步的进展，并提出了过去60年来我们已经走了多远以及该领域未来发展可以预期的问题。
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.