update tutorial_create_sct_operator_interval.ipynb

notebooks/tutorial_create_sct_operator_interval.ipynb

@@ -1,5 +1,19 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Create Napari UI for editing SingleCellTrajectoryCollection (SCTC)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Loading sample data and create a sample trajectory collection"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -31,6 +45,14 @@
     "traj_collection = track_SORT_bbox_from_scs(single_cells, dic_dataset, mask_dataset=mask_dataset, max_age=0, min_hits=1)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Call livecellx.core.sct_operator.create_sctc_edit_viewer_by_interval to create the interface\n",
+    "If key does not work after you click the slice bar at the bottom, please click the canvas (middle) and try again."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -42,7 +64,16 @@
     "import importlib\n",
     "importlib.reload(livecellx.core.sct_operator)\n",
     "\n",
-    "sct_opeartor = livecellx.core.sct_operator.create_sctc_edit_viewer_by_interval(traj_collection, img_dataset=dic_dataset, span_interval=0)"
+    "sct_opeartor = livecellx.core.sct_operator.create_sctc_edit_viewer_by_interval(traj_collection, img_dataset=dic_dataset, span_interval=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sct_opeartor.traj_collection.write_json(\"test.json\", dataset_json_dir=\"./test_livecell_datasets\")"
    ]
   }
  ],