4.6. Curve-Fitting Procedures and Statistical Analyses

Linear (e.g., relation of 1/τ_inact(S) versus the LCS concentration) or nonlinear (e.g., Hill or Boltzmann equation and double exponential) curve fitting to the experimental data sets presented herein was performed with the least-squares fit by using either the Solver add-in bundled with Excel^® 2021 (Microsoft) or OriginPro^® 2021 (OriginLab). The values are provided as means ± standard error of mean (SEM) with sample sizes (n), which denotes the cell number carefully collected. Student’s t-test (paired or unpaired samples) or analysis of variance (ANOVA-1 or ANOVA-2), followed by post-hoc Fisher’s least-significance difference test for multiple-range comparisons, was implemented for the statistical evaluation. Probability with p < 0.05 was considered statistically significant.