diff --git a/README.html b/README.html
index 88cf6c5..2f6dd39 100644
--- a/README.html
+++ b/README.html
@@ -29,7 +29,7 @@
 <a href="https://codecov.io/gh/RoccoDAnt/napari-zelda"><img src="https://codecov.io/gh/RoccoDAnt/napari-zelda/branch/master/graph/badge.svg" alt="codecov"></a></p>
 <h2 id="zelda-a-3d-image-segmentation-and-parent-child-relation-plugin-for-microscopy-image-analysis-in-napari">ZELDA: a 3D Image Segmentation and Parent-Child relation plugin for microscopy image analysis in napari</h2>
 <h4 id="authors-rocco-d-antuono-giuseppina-pisignano">Authors: Rocco D&apos;Antuono, Giuseppina Pisignano</h4>
-<h6 id="preprint-https-www-biorxiv-org-content-10-1101-2021-10-24-465596v1">Preprint: <a href="https://www.biorxiv.org/content/10.1101/2021.10.24.465596v1">https://www.biorxiv.org/content/10.1101/2021.10.24.465596v1</a></h6>
+<h6 id="article-front-comput-sci-04-january-2022-https-doi-org-10-3389-fcomp-2021-796117">Article: Front. Comput. Sci., 04 January 2022 | <a href="https://doi.org/10.3389/fcomp.2021.796117">https://doi.org/10.3389/fcomp.2021.796117</a></h6>
 <h6 id="examples-of-2d-and-3d-data-sets-https-doi-org-10-5281-zenodo-5651284">Examples of 2D and 3D data sets: <a href="https://zenodo.org/record/5651284#.YYgn_WDP2Ch">https://doi.org/10.5281/zenodo.5651284</a></h6>
 <hr>
 <h2 id="what-you-can-do-with-zelda-plugin-for-napari">What you can do with ZELDA plugin for napari</h2>
@@ -97,10 +97,14 @@ <h2 id="installation">Installation</h2>
 </ol>
 <p><strong>Option B.</strong> You can install <code>napari-zelda</code> also via <a href="https://pypi.org/project/pip/">pip</a>. For the best experience, create a conda environment and use napari!=0.4.11, using the following instructions:</p>
 <pre><code>conda create -y -n napari-env python==3.8  
-conda activate napari-env  
-pip install &quot;napari[all]&quot;  
+conda activate napari-env
+conda install napari pyqt  
 pip install napari-zelda  </code></pre><p><strong>Option C.</strong> Alternatively, clone the repository and install locally via <a href="https://pypi.org/project/pip/">pip</a>:</p>
-<pre><code>pip install -e .</code></pre><h2 id="specifications">Specifications</h2>
+<pre><code>pip install -e .</code></pre><p><strong>Option D.</strong> Get the latest code with <a href="https://git-scm.com/book/en/v2/Getting-Started-Installing-Git">git</a> and <a href="https://pypi.org/project/pip/">pip</a>:</p>
+<pre><code>conda create -y -n napari-env python=3.8 git
+conda activate napari-env
+conda install napari pyqt
+pip install git+https://github.com/RoccoDAnt/napari-zelda.git</code></pre><h2 id="specifications">Specifications</h2>
 <p>This <a href="https://github.com/napari/napari">napari</a> plugin was generated with <a href="https://github.com/audreyr/cookiecutter">Cookiecutter</a> using with <a href="https://github.com/napari">@napari</a>&apos;s <a href="https://github.com/napari/cookiecutter-napari-plugin">cookiecutter-napari-plugin</a> template.</p>
 <p>The GUI has been developed using <a href="https://github.com/napari/magicgui">magicgui</a> widgets, while the image analysis and processing include functions from <a href="https://scikit-image.org/">scikit-image</a>, <a href="https://scipy.org/">SciPy</a>, and <a href="https://numpy.org/">NumPy</a>. Results are handled with <a href="https://pandas.pydata.org/">pandas</a> and <a href="https://datatable.readthedocs.io/en/latest/">datatable</a>. Plots are obtained with <a href="https://matplotlib.org/">matplotlib</a>.  </p>
 <!--
diff --git a/README.md b/README.md
index 4b73946..8e2f473 100644
--- a/README.md
+++ b/README.md
@@ -74,8 +74,8 @@ For small monitors it may be convenient to float the protocol panel
 **Option B.** You can install `napari-zelda` also via [pip]. For the best experience, create a conda environment and use napari!=0.4.11, using the following instructions:
 
     conda create -y -n napari-env python==3.8  
-    conda activate napari-env  
-    pip install "napari[all]"  
+    conda activate napari-env
+    conda install napari pyqt  
     pip install napari-zelda  
 
 
@@ -83,6 +83,13 @@ For small monitors it may be convenient to float the protocol panel
 
     pip install -e .
 
+**Option D.** Get the latest code with [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) and [pip]:
+    
+    conda create -y -n napari-env python=3.8 git
+    conda activate napari-env
+    conda install napari pyqt
+    pip install git+https://github.com/RoccoDAnt/napari-zelda.git
+
 
 ## Specifications