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Inconsistency was quantified using the inconsistency index (I) statistic.
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The degree of inconsistency between studies was quantified using the I2 statistic which describes the proportion of variance across studies not due to chance.
Inconsistency among the studies was quantified using the I statistic (Higgins et al. 2003).
The effect of heterogeneity was quantified using inconsistency (I), which described the percentage of total variation attributed to heterogeneity rather than chance.
Heterogeneity among studies was quantified using the I inconsistency statistic, which is a measure of inter-study variability as a proportion of total variability.
Between-dataset heterogeneity was quantified using the I2 metric for inconsistency [15] and its statistical significance was tested with the chi-square distributed Q statistic [16].
Fluorescence was quantified using ImageJ.
Cell size was quantified using SigmaScan Pro.
OPA1 fragmentation was quantified using AIDA software.
DNA was quantified using ultra-violet quantification.
cRNA was quantified using the Nanodrop spectrophotometer.
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