“…When we subtracted secondary ( Figure 4B) from primary images ( Figure 4A), image alignment was not necessary, since the very short interval between images precluded more than negligible motion effects ( Figure 4C). The gray scale was corrected for linearity with the gray-scale bar on the image, and the mean pixel value (dB) was calibrated from the mean pixel intensity using the NIH Image program [9,20]. Because the signals backscattered from tissue underwent logarithmic amplification to obtain a broad-banded gray-scale image, we calculated the antilog of the mean pixel value (dB) (10 [mean pixel value (dB)/20] ) to construct a timeintensity curve (TIC), and used the resultant value to represent gray-scale amplitude to calculate the area under the curve (AUC) as an indicator of microcirculation ( Figure 4D).…”