Evaluate canvas component readiness from geppetto-meta

The task is aimed to create a proof of concept using the latest geppetto-meta and the data provided by the client (https://drive.google.com/drive/folders/1EMiTLErFaV2CozisPtYpCv56p-U_5Ys0?usp=sharing there are different folders with many obj inside, does not really matter which data you want to use, feel free to pick from neurons or synapses).

The requirements are:
- use flexlayout since we will have to wrap all the canvas components and manage each of them.
- instantiate at least 3 canvases/3d viewers, report on responsiveness and eventual additional fixes required for the canvas.

Plus:
- try to instantiate as many 3d viewers as possible in relation to the responsiveness, define the same scene displayed in all of them (same objs list) just to roughly have an idea of what the limit could be.

latest data available for the performance analysis here https://www.dropbox.com/sh/0jdtoshg3951hzb/AAAszvvurR0oMBTBCHr6BzRDa/Test?dl=0&subfolder_nav_tracking=1

Start by locating the canvas and 3D viewer entry points, then use the latest geppetto-meta with FlexLayout and one of the supplied OBJ datasets. Instantiate at least three viewers with the same scene, measure responsiveness, and scale up until performance becomes limiting; report the observed limit and any additional canvas fixes required.

Written by the indexing model from the issue text.