Hello!
For our current research project, we want to analyse (as simple as possible) the dendritic spine density of our mouse brains.
Apart from the Golgi staining, which methodology could be usefull?
Thank you very much,
GC
Hello,
One widely used non-classification approach is the direct measurement of key morphological descriptors. A newly emerging approach is a clusterization of spines according to similarities in their shape. This “clusterization” approach aims to automatically group spines into similar structural classes based on selected algorithms and without a priori input, meaning the results of clusterization are defined by data structure. The spine is presented as a set of values of parameters reflecting its morphology, starting from obvious such as neck and head size to a more complex geometrical parameters that may include a combination of several measurements...
Reading these articles can be helpful
https://doi.org/10.1016/j.neuroscience.2012.04.010
https://doi.org/10.1177/1073858418769644
https://doi.org/10.3389/fnsyn.2020.00031
https://doi.org/10.1016/0165-0270(94)00215-3
Thank you very much for your answer. I'll read the papers soon!
If someone in RG is interested in beginning a collaboration for this analysis...do not hesitate to contact me ;-)
I hope you are successful and healthy, I am happy to be able to do something🌾
Hi Guillemette Crepeaux ,
I think NeuronStudio would offer some ways, even with some very simple stainings. Have you ever heard of it?
Here is their webpage:
https://biii.eu/neuronstudio
Hope it helps!
Best
Lucas
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