Update README.md

himsr-lab · May 4, 2021 · c445338 · c445338
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@@ -10,7 +10,7 @@ The CU-IScore macro implements two scoring methods applicable for immunofluoresc
 **Figure 1: Histogram example.** Distribution of pixel counts as a function of pixel values from the grayscale image (top). The histogram is partitioned into four equally-sized intervals for the I-Score calculation. Pixels with values below a certain threshold (black triangle, bottom) are disregarded as background (white peak, left). Pixels within the user-specified value range contribute to the I-Score weighted by three pixel intensity categories (black distribution, center). In addition, pixels with values above a certain threshold (white triangle, bottom) can be disregarded as outliers (white line, right).
 
 ### Software documentation
-The documentation of our macros is located in the corresponding source code: You can view the source code on GitHub by following the links to the macros.
+The documentation of our macros is in the corresponding source code: You can view the source code on GitHub by following the links to the macros.
 
 ### Software requirements
 CU-IScore requires a recent version of the [Fiji](https://fiji.sc/) image processing package: