Neighborhood matrix ValueError: did not find a match in any of xarray's currently installed IO backends ['scipy', 'zarr'].

*Please refer to our [FAQ](https://ark-analysis.readthedocs.io/en/latest/_rtd/faq.html) and look at our [known issues](https://github.com/angelolab/ark-analysis/issues) before opening a bug report.*

**Describe the bug**
Running in Ubuntu 24.04.1 LTS, ark-analysis-0.7.3.dev0+ge22a487.d20241011 in conda env, example_neighborhood_analysis.ipynb, cell 8

ValueError Traceback (most recent call last)
Cell In[8], line 8
4 neighbor_freqs = pd.read_csv(freqs_path)
6 else:
7 # Create new matrix with the radius and cell column specified above
----> 8 neighbor_counts, neighbor_freqs = neighborhood_analysis.create_neighborhood_matrix(
9 all_data, dist_mat_dir, distlim=pixel_radius, cell_type_col=cell_type_col)
11 # Save neighbor matrices
12 neighbor_counts.to_csv(counts_path, index=False)

File ~/miniconda3/envs/ark_env/lib/python3.10/site-packages/ark/analysis/neighborhood_analysis.py:92, in create_neighborhood_matrix(all_data, dist_mat_dir, included_fovs, distlim, self_neighbor, fov_col, cell_label_col, cell_type_col)
89 fov_cluster_names = current_fov_neighborhood_data[cell_type_col].drop_duplicates()
91 # Retrieve fov-specific distance matrix from distance matrix dictionary
---> 92 dist_matrix = xr.load_dataarray(os.path.join(dist_mat_dir, str(fov) + '_dist_mat.xr'))
94 # Get cell_neighbor_counts and cell_neighbor_freqs for fovs
95 counts, freqs = spatial_analysis_utils.compute_neighbor_counts(
96 current_fov_neighborhood_data, dist_matrix, distlim, self_neighbor,
97 cell_label_col=cell_label_col, cluster_name_col=cell_type_col)

File ~/miniconda3/envs/ark_env/lib/python3.10/site-packages/xarray/backends/api.py:303, in load_dataarray(filename_or_obj, **kwargs)
300 if "cache" in kwargs:
301 raise TypeError("cache has no effect in this context")
--> 303 with open_dataarray(filename_or_obj, **kwargs) as da:
304 return da.load()

File ~/miniconda3/envs/ark_env/lib/python3.10/site-packages/xarray/backends/api.py:769, in open_dataarray(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)
611 def open_dataarray(
612 filename_or_obj: str | os.PathLike[Any] | BufferedIOBase | AbstractDataStore,
613 *,
(...)
629 **kwargs,
630 ) -> DataArray:
631 """Open an DataArray from a file or file-like object containing a single
632 data variable.
633
(...)
766 open_dataset
767 """
--> 769 dataset = open_dataset(
770 filename_or_obj,
771 decode_cf=decode_cf,
772 mask_and_scale=mask_and_scale,
773 decode_times=decode_times,
774 concat_characters=concat_characters,
775 decode_coords=decode_coords,
776 engine=engine,
777 chunks=chunks,
778 cache=cache,
779 drop_variables=drop_variables,
780 inline_array=inline_array,
781 chunked_array_type=chunked_array_type,
782 from_array_kwargs=from_array_kwargs,
783 backend_kwargs=backend_kwargs,
784 use_cftime=use_cftime,
785 decode_timedelta=decode_timedelta,
786 **kwargs,
787 )
789 if len(dataset.data_vars) != 1:
790 raise ValueError(
791 "Given file dataset contains more than one data "
792 "variable. Please read with xarray.open_dataset and "
793 "then select the variable you want."
794 )

File ~/miniconda3/envs/ark_env/lib/python3.10/site-packages/xarray/backends/api.py:569, in open_dataset(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)
566 kwargs.update(backend_kwargs)
568 if engine is None:
--> 569 engine = plugins.guess_engine(filename_or_obj)
571 if from_array_kwargs is None:
572 from_array_kwargs = {}

File ~/miniconda3/envs/ark_env/lib/python3.10/site-packages/xarray/backends/plugins.py:197, in guess_engine(store_spec)
189 else:
190 error_msg = (
191 "found the following matches with the input file in xarray's IO "
192 f"backends: {compatible_engines}. But their dependencies may not be installed, see:\n"
193 "https://docs.xarray.dev/en/stable/user-guide/io.html \n"
194 "https://docs.xarray.dev/en/stable/getting-started-guide/installing.html"
195 )
--> 197 raise ValueError(error_msg)

ValueError: did not find a match in any of xarray's currently installed IO backends ['scipy', 'zarr']. Consider explicitly selecting one of the installed engines via the ``engine`` parameter, or installing additional IO dependencies, see:
https://docs.xarray.dev/en/stable/getting-started-guide/installing.html
https://docs.xarray.dev/en/stable/user-guide/io.html

**Expected behavior**
Expected for neighborhood matrix to be created without error.

**To Reproduce**