diff --git a/monai/data/wsi_reader.py b/monai/data/wsi_reader.py
index 2930676be3..7f1bbfefca 100644
--- a/monai/data/wsi_reader.py
+++ b/monai/data/wsi_reader.py
@@ -824,7 +824,7 @@ def _get_patch(
                     f"The image is expected to have three or four color channels in '{mode}' mode but has "
                     f"{patch.shape[self.channel_dim]}. "
                 )
-            patch = patch[:3]
+            patch = np.take(patch, [0, 1, 2], self.channel_dim)
 
         return patch
 
@@ -1183,6 +1183,6 @@ def _get_patch(
                     f"The image is expected to have three or four color channels in '{mode}' mode but has "
                     f"{patch.shape[self.channel_dim]}. "
                 )
-            patch = patch[:3]
+            patch = np.take(patch, [0, 1, 2], self.channel_dim)
 
         return patch
diff --git a/tests/test_wsireader.py b/tests/test_wsireader.py
index 68de71d021..aae2b0dbaf 100644
--- a/tests/test_wsireader.py
+++ b/tests/test_wsireader.py
@@ -81,15 +81,27 @@
 TEST_CASE_3 = [
     WSI_GENERIC_TIFF_PATH,
     {"channel_dim": -1},
-    {"location": (WSI_GENERIC_TIFF_HEIGHT // 2, WSI_GENERIC_TIFF_WIDTH // 2), "size": (2, 1), "level": 0},
-    np.moveaxis(np.array([[[246], [246]], [[246], [246]], [[246], [246]]], dtype=np.uint8), 0, -1),
+    {"location": (WSI_GENERIC_TIFF_HEIGHT // 2, WSI_GENERIC_TIFF_WIDTH // 2), "size": (4, 1), "level": 0},
+    np.moveaxis(
+        np.array(
+            [[[246], [246], [246], [246]], [[246], [246], [246], [246]], [[246], [246], [246], [246]]], dtype=np.uint8
+        ),
+        0,
+        -1,
+    ),
 ]
 
 TEST_CASE_4 = [
     WSI_GENERIC_TIFF_PATH,
     {"channel_dim": 2},
-    {"location": (0, 0), "size": (2, 1), "level": 8},
-    np.moveaxis(np.array([[[242], [242]], [[242], [242]], [[242], [242]]], dtype=np.uint8), 0, -1),
+    {"location": (0, 0), "size": (4, 1), "level": 8},
+    np.moveaxis(
+        np.array(
+            [[[242], [242], [242], [242]], [[242], [242], [242], [242]], [[242], [242], [242], [242]]], dtype=np.uint8
+        ),
+        0,
+        -1,
+    ),
 ]
 
 TEST_CASE_5 = [