Literature DB >> 34504683

Calcium imaging analysis - how far have we come?

Miranda Robbins1, Charles N Christensen2, Clemens F Kaminski2, Marta Zlatic1.   

Abstract

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. Copyright:
© 2021 Robbins M et al.

Entities:  

Keywords:  Calcium Imaging; Classification; Denoising; Machine Learning; Motion Correction; Neural Networks; Quantification

Mesh:

Substances:

Year:  2021        PMID: 34504683      PMCID: PMC8406438.2          DOI: 10.12688/f1000research.51755.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


  54 in total

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