diff --git a/src/hdmf/container.py b/src/hdmf/container.py
index b67d10bf7..2b2168e0f 100644
--- a/src/hdmf/container.py
+++ b/src/hdmf/container.py
@@ -723,9 +723,12 @@ def _generate_field_html(self, key, value, level, access_code):
             return f'<div style="margin-left: {level * 20}px;" class="container-fields"><span class="field-key"' \
                    f' title="{access_code}">{key}: </span><span class="field-value">{value}</span></div>'
 
-        # Basic array attributes
+        # Detects array-like objects that conform to the Array Interface specification 
+        # (e.g., NumPy arrays, HDF5 datasets, DataIO objects). Objects must have both
+        # 'shape' and 'dtype' attributes. Iterators are excluded as they lack 'shape'.
+        # This approach keeps the implementation generic without coupling to specific backends methods
         is_array_data = hasattr(value, "shape") and hasattr(value, "dtype")
-
+        
         if is_array_data:
             html_content = self._generate_array_html(value, level + 1)
         elif hasattr(value, "generate_html_repr"):
@@ -751,7 +754,7 @@ def _generate_field_html(self, key, value, level, access_code):
 
 
     def _generate_array_html(self, array, level):
-        """Generates HTML for array data"""
+        """Generates HTML for array data (e.g., NumPy arrays, HDF5 datasets, Zarr datasets and DataIO objects)."""
 
         is_numpy_array = isinstance(array, np.ndarray)
         it_was_read_with_io = self.get_read_io() is not None
@@ -763,8 +766,12 @@ def _generate_array_html(self, array, level):
         elif is_data_io:
             array_info_dict = get_basic_array_info(array.data)
             repr_html = generate_array_html_repr(array_info_dict, array.data, "DataIO")
-        elif it_was_read_with_io:  # The backend handles the representation
-            read_io = self.get_read_io()  # Note that sometimes numpy array have a read_io attribute
+        elif it_was_read_with_io: 
+            # The backend handles the representation here. Two special cases worth noting:
+            # 1. Array-type attributes (e.g., start_frame in ImageSeries) remain NumPy arrays 
+            #    even when their parent container has an IO
+            # 2. Data may have been modified after being read from storage
+            read_io = self.get_read_io() 
             repr_html = read_io.generate_dataset_html(array)
         else:  # Not sure which object could get here
             object_class = array.__class__.__name__