Automated analysis of intracellular calcium fluorescence in rat organotypic hippocampal cultures: Comparison to a manual, observer based method

被引:2
作者
Watters, Orla [1 ]
Pickering, Mark [2 ]
Murphy, Robert [3 ]
Murphy, Keith J. [3 ]
O'Connor, John J. [1 ]
机构
[1] Univ Coll Dublin, UCD Conway Inst Biomol & Biomed Res, UCD Sch Biomol & Biomed Sci, Dublin 4, Ireland
[2] Univ Coll Dublin, UCD Sch Med & Med Sci, Dublin 4, Ireland
[3] Univ Coll Dublin, Appl Neurotherapeut Res Grp, UCD Sch Biomol & Biomed Sci, Conway Inst Biomol & Biomed Res, Dublin 4, Ireland
基金
爱尔兰科学基金会;
关键词
Organotypic cultures; Hippocampus; Calcium imaging; Automated analysis; Tumor necrosis factor alpha; Glutamate; IMAGE-ANALYSIS; PLASTICITY; EXPRESSION; APOPTOSIS; GLUTAMATE; DYNAMICS; NECROSIS; SIGNALS; BIAS;
D O I
10.1016/j.jneumeth.2013.11.021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The technical advance's made in microscopy have been matched by an increase in the application of fluorescent microscopy to answer scientific questions. While analysis of fluorescent microscopy images represents a powerful tool, one must be aware of the potential pitfalls. Frequently, the analysis methods applied involve at least some manual steps which are dependent on an observers input. Typically these steps are laborious and time consuming, but more importantly they are also influenced by an individual observer's bias, drift or imprecision. This raises concerns about the repeatability and definitiveness of the reported observations. Using calcium fluorescence in organotypic hippocampal slices as an experimental platform, we demonstrate the influence that manual interventions can exert on an analysis. We show that there is a high degree of variability between observers, and that this can be sufficient to affect the outcome of an experiment. To counter this, and to eliminate the disagreement between observers, we describe an alternative fully automated method which was created using EBImage package for R. This method has the added advantage of being fully open source and customisable, allowing for this approach to be applied to other analyses. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:20 / 29
页数:10
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