diff --git a/CHANGELOG.md b/CHANGELOG.md
index 68012821d79409d3a8b7eb1ef4c53094d30f6c28..9eb927fd561912a1a31a2c4083570232281b4adf 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -16,6 +16,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Fixed ###
 
+* `TableImporter.check_missing` in case of array-valued fields in table
+
 ### Security ###
 
 ### Documentation ###
diff --git a/src/caosadvancedtools/table_importer.py b/src/caosadvancedtools/table_importer.py
index 8f793584051386796bce18bdbaded6c7e34c06ca..3d77e36db4d031657e43589e540edec28fd09633 100755
--- a/src/caosadvancedtools/table_importer.py
+++ b/src/caosadvancedtools/table_importer.py
@@ -388,7 +388,8 @@ class TableImporter():
                 if key not in df.columns:
                     continue
 
-                if pd.isnull(row.loc[key]):
+                null_check = pd.isnull(row.loc[key])
+                if (isinstance(null_check, np.ndarray) and null_check.any()) or (not isinstance(null_check, np.ndarray) and null_check):
                     errmsg = (
                         "Required information is missing ({}) in {}. row"
                         " (without header) of "
diff --git a/unittests/test_table_importer.py b/unittests/test_table_importer.py
index 0b3f0d7c7fc81b2a9d64e24fb2262c686ea669da..dd5b7af712e341683f6bcbd36b67653beebe1673 100644
--- a/unittests/test_table_importer.py
+++ b/unittests/test_table_importer.py
@@ -181,6 +181,15 @@ class TableImporterTest(unittest.TestCase):
         self.assertEqual(df_new.shape[1], 4)
         self.assertEqual(df_new.iloc[0].b, 5)
 
+        # check that missing array-valued fields are detected correctly:
+        df = pd.DataFrame([[[None, None], 4, 2.0, 'yes'],
+                           ['b', 5, 3.0, 'no']],
+                          columns=['a', 'b', 'c', 'd'])
+        df_new = importer.check_missing(df)
+        self.assertEqual(df_new.shape[0], 1)
+        self.assertEqual(df_new.shape[1], 4)
+        self.assertEqual(df_new.iloc[0].b, 5)
+
     def test_wrong_datatype(self):
         importer = TableImporter(**self.importer_kwargs)
         df = pd.DataFrame([[None, np.nan, 2.0, 'yes'],