conversion of AtoMx outputs to h5ad for squidpy and interactive viewer

[lidanwu]

Contents in this PR:

• link the Read Me for AtoMx exported files to "about" page under data formats section.
• add a post which provides code on how to create anndata object (.h5ad file) from either a Seurat object or the basic data files exported by AtoMx SIP.
• demonstrate the usage of resulting anndata object with interactive viewer.
• some additional notes and tips on FastReseg post.

The conversion of AtoMx exported results into .h5ad file would facilitate seamless integration into Python-based single-cell analysis workflows.

To run python code in quarto in R studio, you would need to set the reticulate package correctly. You can do that when you start a new R session fresh.

# find python for an existing env
py <- rminiconda::find_miniconda_python("nanopipeline_python")
# set to use it
reticulate::use_python(py)
# install more python package to that env
rminiconda::rminiconda_pip_install(name = "nanopipeline_python", pkg_name = c("pandas", "matplotlib", "seaborn"))

[lidanwu]

@crwilliams11 , I added in some more notes on FastReseg post based on our conversation in this PR. Hopefully, this is more clear now.

[lidanwu]

@crwilliams11 , thank you for the careful review and nice suggestions. I have incorporated them. Please take a look and let me know if needs any further edits