Single cell data has been obtained in independent Ca2+ imaging recordings with 3–6 cover slips per experimental setting. Data was pooled and analysed with Excel 2010, Prism5 and Sigma Plot 10.0. The total number of analysed cells in each experimental setting is given in Figures 1 –4 and Supplementary Figures S3 , S4 . Statistical significance of the Ca2+ imaging data was assessed with the two sample Kolmogorov–Smirnov test. Statistical significance is given as n.s., non-significant; * P < 0.05; ** P < 0.01 and *** P < 0.001.
Excel 2010
Manufactured by Merck Group
Excel 2010 is a spreadsheet software application developed by Microsoft. It provides a platform for organizing, analyzing, and visualizing data. The core function of Excel 2010 is to enable users to create and manipulate spreadsheets, perform calculations, and generate reports.
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7 protocols using excel 2010
1
Single-cell Ca2+ imaging analysis
2
Quantitative Protein Analysis in Cell Lines
3
Image Processing and Statistical Analysis
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Brightness and contrast levels of images were adjusted using MetaMorph software. Figures were further processed and assembled with Photoshop CS4. Data analyses were carried out in ImageJ and MetaMorph, Excel 2010 and Sigma plot 12.0. Statistical comparisons of multiple datasets were done using one-way ANOVA with post-hoc Dunnett's test (Graphpad Prism 6.01). In case of pairwise comparisons, non-parametric Mann–Whitney rank sum test was used (Sigma plot 12.0). A probability of error of 5% (P≤0.05; * in figure panels) was considered to indicate statistical significance. **, *** and **** indicate P-values of ≤0.01, ≤0.001 and ≤0.0001, respectively.
4
Urinary Metabolite Quantification Protocol
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To obtain the most meaningful urinary metabolite comparisons, calculated metabolite amounts per 10 μl injected on column were normalized against daily volumetric urine output and molecular mass resulting in nmoles of metabolite excreted per day. Daily urine output was determined gravimetrically using 1.00 as the estimated composite urine density. All statistical and data analyses were performed on Microsoft Excel 2010 and SigmaPlot ver. 11.
5
Analyzing Wheat Photosynthesis and Yield
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The data of photosynthesis physiological and winter wheat growth yield were processed and statistically analyzed through Microsoft Excel 2010 and Sigma plot 14.0 software to process data and draw graphs, and DPS7.5 was used for statistical analysis. A two-way ANOVA was used to study the main influence and interaction of variable fluorescence types on yield. When there was a significant interaction effect between photosynthesis physiological, SPAD, and yield, the least significant difference (LSD) method was used for variance analysis and independent T test, and the significance level was set to α = 0.05. Differences were considered statistically significant when p ≤ 0.05.
6
Comprehensive Statistical Analysis of Experimental Data
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All results are expressed as mean ± SE. Graphs were prepared in Microsoft Excel 2010 and in SigmaPlot 12. For statistical analysis, Duncan's multiple range test (one-way ANOVA, P ≤ 0.05) was used in SigmaPlot 12. For the assumptions of ANOVA, we used Hartley's Fmax test for homogeneity and the Shapiro–Wilk normality test.
7
Evaluating Root Exudate's Influence on Soil Cd
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Data were processed using Excel 2010 and Sigmaplot 12.5. One-way ANOVA and Fisher's LSD test method were used to detect and compare differences among treatments. Pearson's method was used for the correlation analyses among root exudate TOC contents, number of peak points in root exudate threedimensional (3-D) fluorescence scans, and root exudate soil-Cd activation capacity.
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