diff --git a/omero/figure_scripts/Split_View_Figure.py b/omero/figure_scripts/Split_View_Figure.py
index 9724ad8f0..79ce8b450 100644
--- a/omero/figure_scripts/Split_View_Figure.py
+++ b/omero/figure_scripts/Split_View_Figure.py
@@ -499,19 +499,28 @@ def split_view_figure(conn, script_params):
     image_labels = []
 
     # function for getting image labels.
-    def get_image_names(full_name, tags_list, pd_list):
+    def get_image_names(full_name, tags_list, pd_list, iid):
         name = full_name.split("/")[-1]
         return [name]
 
     # default function for getting labels is getName (or use datasets / tags)
     if script_params["Image_Labels"] == "Datasets":
-        def get_datasets(name, tags_list, pd_list):
+        def get_datasets(name, tags_list, pd_list, iid):
             return [dataset for project, dataset in pd_list]
         get_labels = get_datasets
     elif script_params["Image_Labels"] == "Tags":
-        def get_tags(name, tags_list, pd_list):
+        def get_tags(name, tags_list, pd_list, iid):
             return [t for t in tags_list]
         get_labels = get_tags
+    elif script_params["Image_Labels"] == "Custom":
+        def get_custom_label(name, tags_list, pd_list, iid):
+            all_labels = script_params["All_labels"]
+            for label_pair in all_labels.split("//n"):
+                if str(iid) in label_pair:
+                    if len(label_pair.split("//s")) > 1:
+                        return [label_pair.split("//s")[1]]
+            return [""]
+        get_labels = get_custom_label
     else:
         get_labels = get_image_names
 
@@ -552,7 +561,7 @@ def get_tags(name, tags_list, pd_list):
         log("  Tags: %s" % tags)
         log("  Project/Datasets: %s" % pd_string)
 
-        image_labels.append(get_labels(name, tags_list, pd_list))
+        image_labels.append(get_labels(name, tags_list, pd_list, iid))
 
     # use the first image to define dimensions, channel colours etc.
     size_x = omero_image.getSizeX()
@@ -674,7 +683,8 @@ def run_script():
     """
 
     data_types = [rstring('Image')]
-    labels = [rstring('Image Name'), rstring('Datasets'), rstring('Tags')]
+    labels = [rstring('Image Name'), rstring('Datasets'), rstring('Tags'),
+              rstring('Custom')]
     algorithms = [rstring('Maximum Intensity'), rstring('Mean Intensity')]
     formats = [rstring('JPEG'), rstring('PNG'), rstring('TIFF')]
     ckeys = list(COLOURS.keys())
@@ -750,6 +760,10 @@ def run_script():
             description="Label images with Image name (default) or datasets"
             " or tags", values=labels, default='Image Name'),
 
+        scripts.String(
+            "All_labels", grouping="93",
+            description="User defined label", default=''),
+
         scripts.Int(
             "Stepping", grouping="93",
             description="The Z increment for projection.", default=1, min=1),