diff --git a/latentscope/server/search.py b/latentscope/server/search.py
index 264182f..0e1b8b3 100644
--- a/latentscope/server/search.py
+++ b/latentscope/server/search.py
@@ -50,11 +50,11 @@ def nn():
         model = EMBEDDINGS[dataset + "-" + embedding_id]
 
     # If lancedb is available, we use it to search
-    lance_path = os.path.join(DATA_DIR, dataset, "lancedb", scope_id + ".lance")
-    print("LANCE PATH", lance_path)
-    if os.path.exists(lance_path):
-        print(f"Found LanceDB index at {lance_path}, using vector search")
-        return nn_lance(dataset, scope_id, model, query, dimensions)
+    if scope_id is not None:
+        lance_path = os.path.join(DATA_DIR, dataset, "lancedb", scope_id + ".lance")
+        if os.path.exists(lance_path):
+            print(f"Found LanceDB index at {lance_path}, using vector search")
+            return nn_lance(dataset, scope_id, model, query, dimensions)
 
     # Otherwise we use the nearest neighbors search from sklearn
     num = 150
diff --git a/web/src/components/FilterDataTable.jsx b/web/src/components/FilterDataTable.jsx
index 4e951ef..2a346ff 100644
--- a/web/src/components/FilterDataTable.jsx
+++ b/web/src/components/FilterDataTable.jsx
@@ -387,7 +387,7 @@ function FilterDataTable({
             setPageCount(totalPages);
             // console.log('======= SETTING ROWS =======', rows, timestamp);
             setRows(rows.map((row, idx) => ({ ...row, idx })));
-            onDataTableRows(rows);
+            if (onDataTableRows) onDataTableRows(rows);
             // setRowsLoading(false);
           });
       } else {
diff --git a/web/src/lib/colors.js b/web/src/lib/colors.js
index 58090d0..d5efc95 100644
--- a/web/src/lib/colors.js
+++ b/web/src/lib/colors.js
@@ -38,7 +38,7 @@ export const mapSelectionOpacity = [
 ];
 export const mapPointSizeRange = [
   3, // normal
-  3.5, // selected
+  5.5, // selected
   2, // not selected
   12.5, // hovered
   0, // hidden