Can't save selected layer

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## Description
*A clear description of the bug*
When I try to save a selected layer (like the output from segmenter), a file with the correct name appears but I can't open it in napari, aicsimageio, or imagej
### Error message
```
~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\implementation.py in __call__(self=, *args=(r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp', (38, 600, 600) bool, {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}))
65 def __call__(self, *args):
---> 66 return self.function(*args)
self.function =
args = ('C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp', (38, 600, 600) bool, {'name': '6. Size Filter', 'metadata': {}, 'scale': [1.0, 1.0, 1.0], 'translate': [0.0, 0.0, 0.0], 'rotate': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'shear': [0.0, 0.0, 0.0], 'opacity': 1.0, 'blending': 'translucent', 'visible': 2, 'experimental_clipping_planes': [], 'rgb': False, 'multiscale': False, 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'interpolation': 'nearest', 'rendering': 'mip', 'experimental_slicing_plane': {'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'enabled': False, 'thickness': 1.0}, 'iso_threshold': 0.5, 'attenuation': 0.05, 'gamma': 1, 'data': (38, 600, 600) bool})
67

~\Anaconda3\envs\napari_env\lib\site-packages\napari\plugins\_builtins.py in napari_write_image(path=r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp', data= (38, 600, 600) bool, meta={'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...})
103 if ext in imsave_extensions():
--> 104 imsave(path, data)
global imsave =
path = 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp'
data = (38, 600, 600) bool
105 return path

~\Anaconda3\envs\napari_env\lib\site-packages\napari\utils\io.py in imsave(filename=r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp', data= (38, 600, 600) bool)
58
---> 59 imageio.imsave(filename, data)
imageio.imsave =
filename = 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp'
data = (38, 600, 600) bool
60

~\Anaconda3\envs\napari_env\lib\site-packages\imageio\core\functions.py in imwrite(uri=r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp', im= (38, 600, 600) bool, format=None, **kwargs={})
293 if not np.issubdtype(im.dtype, np.number):
--> 294 raise ValueError("Image is not numeric, but {}.".format(imt.__name__))
global ValueError.format = undefined
imt.__name__ = 'ndarray'
295 elif im.ndim == 2:

ValueError: Image is not numeric, but ndarray.

The above exception was the direct cause of the following exception:

PluginCallError Traceback (most recent call last)
~\Anaconda3\envs\napari_env\lib\site-packages\napari\_qt\menus\file_menu.py in ()
49 {
50 'text': trans._('Save Selected Layer(s)...'),
---> 51 'slot': lambda: window.qt_viewer._save_layers_dialog(
global window.qt_viewer._save_layers_dialog = undefined
global selected = undefined
52 selected=True
53 ),

~\Anaconda3\envs\napari_env\lib\site-packages\napari\_qt\qt_viewer.py in _save_layers_dialog(self=, selected=True)
530 if filename:
531 with warnings.catch_warnings(record=True) as wa:
--> 532 saved = self.viewer.layers.save(filename, selected=selected)
saved = undefined
self.viewer.layers.save = , , , , , , , , , , , ]>
filename = 'C:/Users/benjamin.morris/Downloads/test_09_22.bmp'
selected = True
533 error_messages = "\n".join(
534 [str(x.message.args[0]) for x in wa]

~\Anaconda3\envs\napari_env\lib\site-packages\napari\components\layerlist.py in save(self=[, ], path='C:/Users/benjamin.morris/Downloads/test_09_22.bmp', selected=True, plugin=None)
322 return []
323
--> 324 return save_layers(path, layers, plugin=plugin)
save_layers =
path = 'C:/Users/benjamin.morris/Downloads/test_09_22.bmp'
layers = []
plugin = None
325
326 def _selection_context(self) -> dict:

~\Anaconda3\envs\napari_env\lib\site-packages\napari\plugins\io.py in save_layers(path='C:/Users/benjamin.morris/Downloads/test_09_22.bmp', layers=[], plugin=None)
207 )
208 elif len(layers) == 1:
--> 209 _written = _write_single_layer_with_plugins(
_written = undefined
global _write_single_layer_with_plugins =
path = 'C:/Users/benjamin.morris/Downloads/test_09_22.bmp'
layers = []
global plugin_name = undefined
plugin = None
210 path, layers[0], plugin_name=plugin
211 )

~\Anaconda3\envs\napari_env\lib\site-packages\napari\plugins\io.py in _write_single_layer_with_plugins(path='C:/Users/benjamin.morris/Downloads/test_09_22.bmp', layer=, plugin_name=None)
405
406 # Call the hook_caller
--> 407 return hook_caller(
hook_caller =
global _plugin = undefined
plugin_name = None
path = 'C:/Users/benjamin.morris/Downloads/test_09_22.bmp'
global abspath_or_url =
global data = undefined
layer.data = (38, 600, 600) bool
global meta = undefined
layer._get_state = >
408 _plugin=plugin_name,
409 path=abspath_or_url(path),

~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\hooks.py in __call__(self=, _plugin=None, _skip_impls=[], *args=(), **kwargs={'data': (38, 600, 600) bool, 'meta': {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}, 'path': r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp'})
518 return self._call_plugin(_plugin, **kwargs)
519
--> 520 result = self.call_with_result_obj(_skip_impls=_skip_impls, **kwargs)
result = undefined
self.call_with_result_obj = >
_skip_impls = []
kwargs = {'path': 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp', 'data': (38, 600, 600) bool, 'meta': {'name': '6. Size Filter', 'metadata': {}, 'scale': [1.0, 1.0, 1.0], 'translate': [0.0, 0.0, 0.0], 'rotate': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'shear': [0.0, 0.0, 0.0], 'opacity': 1.0, 'blending': 'translucent', 'visible': 2, 'experimental_clipping_planes': [], 'rgb': False, 'multiscale': False, 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'interpolation': 'nearest', 'rendering': 'mip', 'experimental_slicing_plane': {'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'enabled': False, 'thickness': 1.0}, 'iso_threshold': 0.5, 'attenuation': 0.05, 'gamma': 1, 'data': (38, 600, 600) bool}}
521 return result.result
522

~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\hooks.py in call_with_result_obj(self=, _skip_impls=[], **kwargs={'data': (38, 600, 600) bool, 'meta': {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}, 'path': r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp'})
459 self._check_call_kwargs(kwargs)
460 impls = [imp for imp in self.get_hookimpls() if imp not in _skip_impls]
--> 461 return self._hookexec(self, impls, kwargs)
self._hookexec = >
self =
impls = [, ]
kwargs = {'path': 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp', 'data': (38, 600, 600) bool, 'meta': {'name': '6. Size Filter', 'metadata': {}, 'scale': [1.0, 1.0, 1.0], 'translate': [0.0, 0.0, 0.0], 'rotate': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'shear': [0.0, 0.0, 0.0], 'opacity': 1.0, 'blending': 'translucent', 'visible': 2, 'experimental_clipping_planes': [], 'rgb': False, 'multiscale': False, 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'interpolation': 'nearest', 'rendering': 'mip', 'experimental_slicing_plane': {'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'enabled': False, 'thickness': 1.0}, 'iso_threshold': 0.5, 'attenuation': 0.05, 'gamma': 1, 'data': (38, 600, 600) bool}}
462
463 def __call__(

~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\manager.py in _hookexec(self=, caller=, methods=[, ], kwargs={'data': (38, 600, 600) bool, 'meta': {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}, 'path': r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp'})
160 The result object produced by the multicall loop.
161 """
--> 162 return self._inner_hookexec(caller, methods, kwargs)
self._inner_hookexec = . at 0x000001563320DCA0>
caller =
methods = [, ]
kwargs = {'path': 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp', 'data': (38, 600, 600) bool, 'meta': {'name': '6. Size Filter', 'metadata': {}, 'scale': [1.0, 1.0, 1.0], 'translate': [0.0, 0.0, 0.0], 'rotate': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'shear': [0.0, 0.0, 0.0], 'opacity': 1.0, 'blending': 'translucent', 'visible': 2, 'experimental_clipping_planes': [], 'rgb': False, 'multiscale': False, 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'interpolation': 'nearest', 'rendering': 'mip', 'experimental_slicing_plane': {'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'enabled': False, 'thickness': 1.0}, 'iso_threshold': 0.5, 'attenuation': 0.05, 'gamma': 1, 'data': (38, 600, 600) bool}}
163
164 def iter_available(

~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\manager.py in (c=, m=[, ], k={'data': (38, 600, 600) bool, 'meta': {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}, 'path': r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp'})
121 self.trace = _tracing.TagTracer().get("pluginmanage")
122 self.hook = _HookRelay(self)
--> 123 self._inner_hookexec: HookExecFunc = lambda c, m, k: c.multicall(
global self._inner_hookexec = undefined
global HookExecFunc = typing.Callable[[ForwardRef('HookCaller'), typing.List[napari_plugin_engine.implementation.HookImplementation], dict], napari_plugin_engine.callers.HookResult]
c =
m = [, ]
k = {'path': 'C:\\Users\\benjamin.morris\\Downloads\\test_09_22.bmp', 'data': (38, 600, 600) bool, 'meta': {'name': '6. Size Filter', 'metadata': {}, 'scale': [1.0, 1.0, 1.0], 'translate': [0.0, 0.0, 0.0], 'rotate': [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], 'shear': [0.0, 0.0, 0.0], 'opacity': 1.0, 'blending': 'translucent', 'visible': 2, 'experimental_clipping_planes': [], 'rgb': False, 'multiscale': False, 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'interpolation': 'nearest', 'rendering': 'mip', 'experimental_slicing_plane': {'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'enabled': False, 'thickness': 1.0}, 'iso_threshold': 0.5, 'attenuation': 0.05, 'gamma': 1, 'data': (38, 600, 600) bool}}
c.multicall =
global firstresult = undefined
c.is_firstresult = True
124 m, k, firstresult=c.is_firstresult
125 )

~\Anaconda3\envs\napari_env\lib\site-packages\napari_plugin_engine\callers.py in _multicall(hook_impls=[, ], caller_kwargs={'data': (38, 600, 600) bool, 'meta': {'attenuation': 0.05, 'blending': 'translucent', 'colormap': 'gray', 'contrast_limits': [0.0, 1.0], 'data': (38, 600, 600) bool, 'experimental_clipping_planes': [], 'experimental_slicing_plane': {'enabled': False, 'normal': (1.0, 0.0, 0.0), 'position': (0.0, 0.0, 0.0), 'thickness': 1.0}, 'gamma': 1, 'interpolation': 'nearest', 'iso_threshold': 0.5, ...}, 'path': r'C:\Users\benjamin.morris\Downloads\test_09_22.bmp'}, firstresult=True)
209 finally:
210 if firstresult and errors:
--> 211 raise errors[-1]
errors = [PluginCallError("Error in plugin 'builtins', hook 'napari_write_image': Image is not numeric, but ndarray.")]
212
213 outcome = HookResult(

PluginCallError: Error in plugin 'builtins', hook 'napari_write_image': Image is not numeric, but ndarray.
* If you can't find the error message, go to Plugins > Plugin Errors > napari-allencell-segmenter
* Most of the time, the most helpful information is at the very bottom of the error output
```

## Expected Behavior
*What did you expect to happen instead?*
I expected to be able to view the segmented image

## Reproduction
*Please list the exact steps we can take to reproduce this bug.*
1. Load 3D image
2. Run segmenter workflow
3. select final layer
4. File -> Save Selected Layer

## Environment
Operating system (ex. MacOS Big Sur): Windows 10
Python version (ex. 3.8): 3.9
How did you install the napari viewer (as a bundled app or through command line with `pip`)?: pip install, napari version