Merge branch 'patch-2020112557' into 'master'

update abstract & source code link

See merge request core-services/r3lab/r3-pages!52

frozen/praqa.md

@@ -10,6 +10,20 @@ permalink: /frozen/PRAQA/
 {% rtitle Protein Relative Abundance Quantification Algorithm for 3D  Fluorescent Images from Tissue %}
 Corrado Ameli, Sonja Fixemer, David Bouvier, Alexander Skupin.
 
+In confocal fluorescent microscopy, the quality of the acquisition strongly depends on diverse factors including
+the microscope parameterization, the light exposure time, the type and concentration of the antibodies used,
+the thickness of the sample and the degradation of the biological tissue itself. All these factors critically
+influence the final result and render tissue protein quantification challenging due to intra- and inter-sample
+variability. Therefore, image processing techniques need to address the acquisitions variability to minimize the
+risk of bias coming from changes in signal intensity, noise and parameterization. Here, we introduce Protein
+Relative Abundance Quantification Algorithm (PRAQA), a 1-parameter based, fast and adaptive approach for
+quantifying protein abundance in 3D fluorescent-immunohistochemistry stained tissues that requires no image
+preprocessing. Our method is based on the assessment of the global pixel intensity neighborhood dispersion
+that allows to statistically infer whether each small region of an image can be considered as positive signal
+or background noise. We benchmark our method with alternative approaches from literature and validate its
+applicability and efficiency based on synthetic scenarios and a real-world application to post-mortem human
+brain samples of Alzheimer’s Disease and Lewy Body Dementia patients.
+
 permalink: [doi:10.17881/j20h-pa27](https://doi.org/10.17881/j20h-pa27)
 {% endrtitle %} 
 
@@ -18,7 +32,9 @@ permalink: [doi:10.17881/j20h-pa27](https://doi.org/10.17881/j20h-pa27)
 
 
 {% rblock source code %}
-The source code for the program is available on [Gitlab](#).
+
+The source code for the program is available on [Gitlab](#https://github.com/CorradoAmeliLU/PRAQA).
+
 {% endrblock %}
 
 {% endrgridblock %}