diff --git a/ome_zarr/scale.py b/ome_zarr/scale.py
index 0fb3e85e..8a2d55ca 100644
--- a/ome_zarr/scale.py
+++ b/ome_zarr/scale.py
@@ -209,7 +209,7 @@ def gaussian(self, base: np.ndarray) -> list[np.ndarray]:
                 base,
                 downscale=self.downscale,
                 max_layer=self.max_layer,
-                multichannel=False,
+                channel_axis=None,
             )
         )
 
@@ -220,7 +220,7 @@ def laplacian(self, base: np.ndarray) -> list[np.ndarray]:
                 base,
                 downscale=self.downscale,
                 max_layer=self.max_layer,
-                multichannel=False,
+                channel_axis=None,
             )
         )
 
diff --git a/pyproject.toml b/pyproject.toml
index 3a5e40a5..affcf269 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ dependencies = [
     # See https://github.com/fsspec/filesystem_spec/issues/819
     "aiohttp<4",
     "requests",
-    "scikit-image",
+    "scikit-image>=0.19.0",
     "toolz",
 ]
 classifiers = [
diff --git a/tests/test_scaler.py b/tests/test_scaler.py
index c3ab1759..4e125085 100644
--- a/tests/test_scaler.py
+++ b/tests/test_scaler.py
@@ -1,8 +1,13 @@
+import pathlib
+
 import dask.array as da
 import numpy as np
 import pytest
+import zarr
 
+from ome_zarr.io import parse_url
 from ome_zarr.scale import Scaler
+from ome_zarr.writer import write_image
 
 
 class TestScaler:
@@ -146,3 +151,24 @@ def test_big_dask_pyramid(self, tmpdir):
         # to zarr invokes compute
         data_dir = tmpdir.mkdir("test_big_dask_pyramid")
         da.to_zarr(level_1, str(data_dir))
+
+    @pytest.mark.parametrize("method", ["gaussian", "laplacian"])
+    def test_pyramid_args(self, shape, tmpdir, method):
+        path = pathlib.Path(tmpdir.mkdir("data"))
+        store = parse_url(path, mode="w").store
+        group = zarr.group(store=store, overwrite=True)
+        data = self.create_data(shape)
+
+        scaler = Scaler(
+            downscale=2,
+            method=method,
+            max_layer=2,
+        )
+
+        axes = "tczyx"[-len(shape) :]
+        write_image(
+            image=data,
+            group=group,
+            scaler=scaler,
+            axes=axes,
+        )