diff --git a/extraction/core/functions/cell.py b/extraction/core/functions/cell.py
index 9eea1cedbe0f5979c7a779ba70a11c768e58d8a3..13430d716080b8764815f00ee286f7dc0923c418 100644
--- a/extraction/core/functions/cell.py
+++ b/extraction/core/functions/cell.py
@@ -55,7 +55,7 @@ def max5px_med(cell_mask, trap_image):
     max5px = np.mean(top_vals, dtype=float)
 
     med = sorted_vals[len(sorted_vals) // 2] if len(sorted_vals) else 1
-    return max2p5px / med
+    return max5px / med
 
 
 def max2p5pc_med(cell_mask, trap_image):
diff --git a/extraction/core/functions/defaults.py b/extraction/core/functions/defaults.py
index 310580652b6737e1dec9549c6abcc94211fe5ce2..36a6449d89f2786ad2a23e5c1bcdb2ce253044be 100644
--- a/extraction/core/functions/defaults.py
+++ b/extraction/core/functions/defaults.py
@@ -31,9 +31,7 @@ def exparams_from_meta(meta: Union[dict, PosixPath, str], extras=["ph"]):
         "median",
         "imBackground",
         "max2p5pc",
-        "max2p5pc_med",
         "max5px",
-        "max5px_med",
     }
     default_rm = {r: default_metrics for r in default_reductions}