diff --git a/ome_zarr/reader.py b/ome_zarr/reader.py
index 2bba93b8..c77e8162 100644
--- a/ome_zarr/reader.py
+++ b/ome_zarr/reader.py
@@ -405,23 +405,24 @@ def __init__(self, node: Node) -> None:
         LOGGER.info("well_data: %s", self.well_data)
 
         image_paths = [image["path"] for image in self.well_data.get("images")]
+
+        # Construct a 2D almost-square grid
         field_count = len(image_paths)
         column_count = math.ceil(math.sqrt(field_count))
         row_count = math.ceil(field_count / column_count)
 
-        # Use first Field for rendering settings, shape etc.
+        # Use first Field and highest-resolution level for rendering settings,
+        # shapes etc.
         image_zarr = self.zarr.create(image_paths[0])
         image_node = Node(image_zarr, node)
         x_index = len(image_node.metadata["axes"]) - 1
         y_index = len(image_node.metadata["axes"]) - 2
-        level = 0  # load full resolution image
-        self.numpy_type = image_node.data[level].dtype
+        self.numpy_type = image_node.data[0].dtype
+        self.img_shape = image_node.data[0].shape
         self.img_metadata = image_node.metadata
-        self.img_shape = image_node.data[level].shape
         self.img_pyramid_shapes = [d.shape for d in image_node.data]
 
-        # stitch full-resolution images into a grid
-        def get_field(tile_name: str) -> np.ndarray:
+        def get_field(tile_name: str, level: int) -> np.ndarray:
             """tile_name is 'row,col'"""
             row, col = (int(n) for n in tile_name.split(","))
             field_index = (column_count * row) + col
@@ -431,29 +432,37 @@ def get_field(tile_name: str) -> np.ndarray:
                 data = self.zarr.load(path)
             except ValueError:
                 LOGGER.error(f"Failed to load {path}")
-                data = np.zeros(self.img_shape, dtype=self.numpy_type)
+                data = np.zeros(self.img_pyramid_shapes[level], dtype=self.numpy_type)
             return data
 
         lazy_reader = delayed(get_field)
 
-        def get_lazy_well() -> da.Array:
+        def get_lazy_well(level: int, tile_shape: tuple) -> da.Array:
             lazy_rows = []
-            # For level 0, return whole image for each tile
             for row in range(row_count):
                 lazy_row: List[da.Array] = []
                 for col in range(column_count):
                     tile_name = f"{row},{col}"
-                    LOGGER.debug(f"creating lazy_reader. row:{row} col:{col}")
+                    LOGGER.debug(
+                        f"creating lazy_reader. row:{row} col:{col} level:{level}"
+                    )
                     lazy_tile = da.from_delayed(
-                        lazy_reader(tile_name),
-                        shape=self.img_shape,
+                        lazy_reader(tile_name, level),
+                        shape=tile_shape,
                         dtype=self.numpy_type,
                     )
                     lazy_row.append(lazy_tile)
                 lazy_rows.append(da.concatenate(lazy_row, axis=x_index))
             return da.concatenate(lazy_rows, axis=y_index)
 
-        node.data = [get_lazy_well()]
+        # Create a pyramid of layers at different resolutions
+        pyramid = []
+        for level, tile_shape in enumerate(self.img_pyramid_shapes):
+            lazy_well = get_lazy_well(level, tile_shape)
+            pyramid.append(lazy_well)
+
+        # Set the node.data to be pyramid view of the plate
+        node.data = pyramid
         node.metadata = image_node.metadata