diff --git a/BUILD_NOTES_tch.txt b/BUILD_NOTES_tch.txt
index 7fe0b15..2a2257f 100644
--- a/BUILD_NOTES_tch.txt
+++ b/BUILD_NOTES_tch.txt
@@ -9,7 +9,7 @@ Then set the following environment variables:
 
 export LIBTORCH={path/to/}libtorch
 export DYLD_LIBRARY_PATH=${LIBTORCH}/lib
-export LD_LIBRARY_PATH=${DYLD_LIBRARY_PATH}
+export LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}${DYLD_LIBRARY_PATH}"
 
 You can check that everything is working by running `modkit open-chromatin predict <args> --dryrun`.
 
diff --git a/docs/images/chromatin_stenciling_3_no_alpha.png b/docs/images/chromatin_stenciling_3_no_alpha.png
new file mode 100644
index 0000000..7e49e29
Binary files /dev/null and b/docs/images/chromatin_stenciling_3_no_alpha.png differ
diff --git a/docs/intro_open_chromatin.html b/docs/intro_open_chromatin.html
index e1f5a73..9e4c418 100644
--- a/docs/intro_open_chromatin.html
+++ b/docs/intro_open_chromatin.html
@@ -180,7 +180,7 @@ <h1 class="menu-title">Modkit</h1>
                         <h1 id="find-regions-of-accessible-chromatin"><a class="header" href="#find-regions-of-accessible-chromatin">Find regions of accessible chromatin</a></h1>
 <p>Nanopore sequencing can detect multiple base modifications simultaneously and we can leverage this capability by introducing exogenous base modifications at specific functional regions.
 One such method uses a 6mA methyltransferase such as EcoGII or Hia5 to label accessible regions of chromatinized DNA, usually by treatment of cell nuclei with the enzyme.</p>
-<p><img src="./images/chromatin_stenciling_3.png" title="Cartoon schematic showing exogenous 6mA introduced to regions of accessible chromatin" alt="Chromatin Accessibility treatment"></p>
+<p><img src="./images/chromatin_stenciling_3_no_alpha.png" title="Cartoon schematic showing exogenous 6mA introduced to regions of accessible chromatin" alt="Chromatin Accessibility treatment"></p>
 <h2 id="predict-regions-of-open-chromatin"><a class="header" href="#predict-regions-of-open-chromatin">Predict regions of open chromatin</a></h2>
 <p>Modkit comes with a machine learning model that has been trained to identify regions of open chromatin based on 6mA signal.
 You can invoke this model with the following command:</p>