diff --git a/pycytominer/cyto_utils/features.py b/pycytominer/cyto_utils/features.py
index 5ebf2525..e3e302b9 100644
--- a/pycytominer/cyto_utils/features.py
+++ b/pycytominer/cyto_utils/features.py
@@ -155,7 +155,7 @@ def drop_outlier_features(
     population_df : pandas.core.frame.DataFrame
         DataFrame that includes metadata and observation features.
     features : list of str or str, default "infer"
-        Features present in the population dataframe. If "infer", then assume CellProfiler feature conventions (start with "Cells_", "Nuclei_", or "Cytoplasm_")
+        Features present in the population dataframe. If "infer", then assume CellProfiler feature naming conventions (start with "Cells_", "Nuclei_", or "Cytoplasm_")
     samples : str, default "all"
         List of samples to perform operation on. The function uses a pd.DataFrame.query()
         function, so you should  structure samples in this fashion. An example is