From c4453382d5d3de46bcffa428d2714fd3a68fb1ea Mon Sep 17 00:00:00 2001 From: Christian Rickert Date: Tue, 4 May 2021 11:45:29 -0600 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7eafad0..76dfce2 100644 --- a/README.md +++ b/README.md @@ -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: