diff --git a/.gitignore b/.gitignore
index e411cc0..374bf10 100644
--- a/.gitignore
+++ b/.gitignore
@@ -45,7 +45,7 @@ pip-selfcheck.json
 # Unit test / coverage reports
 htmlcov/
 .tox/
-.coverage
+.coverage*
 .cache
 nosetests.xml
 coverage.xml
diff --git a/Cargo.toml b/Cargo.toml
index 27b9a01..5bac658 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "acquire-imaging"
 authors = ["Nathan Clack <nclack@chanzuckerberg.com>"]
-version = "0.4.0-rc1"
+version = "0.4.0-rc2"
 edition = "2021"
 
 [lib]
diff --git a/acquire-common b/acquire-common
index 7afe044..8e3e995 160000
--- a/acquire-common
+++ b/acquire-common
@@ -1 +1 @@
-Subproject commit 7afe044c0bb91c24bf8f397205b42f47ccade05a
+Subproject commit 8e3e9957c6f5d66753dc0a312c3a729e98f8e737
diff --git a/drivers.json b/drivers.json
index 78e4adb..35dd763 100644
--- a/drivers.json
+++ b/drivers.json
@@ -1,5 +1,5 @@
 {
-  "acquire-driver-zarr": "0.1.12",
+  "acquire-driver-zarr": "0.1.13",
   "acquire-driver-egrabber": "0.1.5",
   "acquire-driver-hdcam": "0.1.9",
   "acquire-driver-spinnaker": "0.1.1",
diff --git a/tests/test_zarr.py b/tests/test_zarr.py
index 517c6f3..7e8bbd7 100644
--- a/tests/test_zarr.py
+++ b/tests/test_zarr.py
@@ -5,7 +5,6 @@
 from typing import Optional
 
 import dotenv
-import numpy as np
 import pytest
 import s3fs
 import zarr
@@ -13,7 +12,6 @@
 from numcodecs import blosc as blosc
 from ome_zarr.io import parse_url
 from ome_zarr.reader import Reader
-from skimage.transform import downscale_local_mean
 
 import acquire
 from acquire import Runtime, DeviceKind
@@ -420,15 +418,7 @@ def test_write_zarr_multiscale(
     data = [
         da.from_zarr(uri, component=str(i)) for i in range(len(zgroup.data))
     ]
-    assert len(data) == 3
-
-    image = data[0][0, :, :].compute()  # convert dask array to numpy array
-
-    for d in data:
-        assert (
-            np.linalg.norm(image - d[0, :, :].compute()) == 0
-        )  # validate against the same method from scikit-image
-        image = downscale_local_mean(image, (2, 2)).astype(np.uint8)
+    assert len(data) == 3  # 3 layers
 
 
 @pytest.mark.parametrize(