{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing and analyzing EBSS data\n",
    "This tutorial walks through how you can use livecellx to analyze and visualize EBSS data of single cells. It involves essential processes like loading imaging datasets, cell segmentation, feature extraction, and tracking single-cell trajectories over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from cellpose import models\n",
    "from cellpose.io import imread\n",
    "import glob\n",
    "from pathlib import Path\n",
    "from PIL import Image, ImageSequence\n",
    "from tqdm import tqdm\n",
    "import os\n",
    "import os.path\n",
    "from livecellx import core\n",
    "from livecellx.core import datasets\n",
    "from livecellx.core.datasets import LiveCellImageDataset, SingleImageDataset\n",
    "from skimage import measure\n",
    "from livecellx.core import SingleCellTrajectory, SingleCellStatic\n",
    "\n",
    "# import some common libraries\n",
    "import numpy as np\n",
    "import os, json, cv2, random\n",
    "import cv2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading single cell imaging data:\n",
    "The `LiveCellImageDataset` and `SingleCellImageDataset` from livecellx.core.datasets simplify the image loading process, ensuring the user doesn't load everything directly into memory.\n",
    "\n",
    "When you provide a path to these datasets, ensure the image files' names are sorted in chronological order, since the order is determined by string sorting. This means that \"T10\" (10th time point) comes before \"T2\" if you don't use proper left-trailing zeroes.\n",
    "\n",
    "For those with unique naming patterns, you can provide a dictionary (time2url) mapping the time points to the file locations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataset_dir_path = Path(\n",
    "#     \"../datasets/test_data_STAV-A549/DIC_data\"\n",
    "# )\n",
    "\n",
    "# mask_dataset_path = Path(\"../datasets/test_data_STAV-A549/mask_data\")\n",
    "\n",
    "dataset_dir_path = Path(\n",
    "    \"../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/\"\n",
    ")\n",
    "\n",
    "mask_dataset_path = Path(\"../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "291 png img file paths loaded: \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{0: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T001_XY16_DIC.tif.png',\n",
       " 1: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T002_XY16_DIC.tif.png',\n",
       " 2: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T003_XY16_DIC.tif.png',\n",
       " 3: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T004_XY16_DIC.tif.png',\n",
       " 4: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T005_XY16_DIC.tif.png',\n",
       " 5: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T006_XY16_DIC.tif.png',\n",
       " 6: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T007_XY16_DIC.tif.png',\n",
       " 7: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T008_XY16_DIC.tif.png',\n",
       " 8: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T009_XY16_DIC.tif.png',\n",
       " 9: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T010_XY16_DIC.tif.png',\n",
       " 10: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T011_XY16_DIC.tif.png',\n",
       " 11: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T012_XY16_DIC.tif.png',\n",
       " 12: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T013_XY16_DIC.tif.png',\n",
       " 13: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T014_XY16_DIC.tif.png',\n",
       " 14: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T015_XY16_DIC.tif.png',\n",
       " 15: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T016_XY16_DIC.tif.png',\n",
       " 16: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T017_XY16_DIC.tif.png',\n",
       " 17: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T018_XY16_DIC.tif.png',\n",
       " 18: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T019_XY16_DIC.tif.png',\n",
       " 19: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T020_XY16_DIC.tif.png',\n",
       " 20: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T021_XY16_DIC.tif.png',\n",
       " 21: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T022_XY16_DIC.tif.png',\n",
       " 22: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T023_XY16_DIC.tif.png',\n",
       " 23: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T024_XY16_DIC.tif.png',\n",
       " 24: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T025_XY16_DIC.tif.png',\n",
       " 25: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T026_XY16_DIC.tif.png',\n",
       " 26: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T027_XY16_DIC.tif.png',\n",
       " 27: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T028_XY16_DIC.tif.png',\n",
       " 28: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T029_XY16_DIC.tif.png',\n",
       " 29: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T030_XY16_DIC.tif.png',\n",
       " 30: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T031_XY16_DIC.tif.png',\n",
       " 31: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T032_XY16_DIC.tif.png',\n",
       " 32: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T033_XY16_DIC.tif.png',\n",
       " 33: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T034_XY16_DIC.tif.png',\n",
       " 34: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T035_XY16_DIC.tif.png',\n",
       " 35: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T036_XY16_DIC.tif.png',\n",
       " 36: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T037_XY16_DIC.tif.png',\n",
       " 37: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T038_XY16_DIC.tif.png',\n",
       " 38: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T039_XY16_DIC.tif.png',\n",
       " 39: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T040_XY16_DIC.tif.png',\n",
       " 40: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T041_XY16_DIC.tif.png',\n",
       " 41: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T042_XY16_DIC.tif.png',\n",
       " 42: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T043_XY16_DIC.tif.png',\n",
       " 43: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T044_XY16_DIC.tif.png',\n",
       " 44: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T045_XY16_DIC.tif.png',\n",
       " 45: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T046_XY16_DIC.tif.png',\n",
       " 46: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T047_XY16_DIC.tif.png',\n",
       " 47: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T048_XY16_DIC.tif.png',\n",
       " 48: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T049_XY16_DIC.tif.png',\n",
       " 49: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T050_XY16_DIC.tif.png',\n",
       " 50: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T051_XY16_DIC.tif.png',\n",
       " 51: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T052_XY16_DIC.tif.png',\n",
       " 52: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T053_XY16_DIC.tif.png',\n",
       " 53: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T054_XY16_DIC.tif.png',\n",
       " 54: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T055_XY16_DIC.tif.png',\n",
       " 55: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T056_XY16_DIC.tif.png',\n",
       " 56: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T057_XY16_DIC.tif.png',\n",
       " 57: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T058_XY16_DIC.tif.png',\n",
       " 58: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T059_XY16_DIC.tif.png',\n",
       " 59: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T060_XY16_DIC.tif.png',\n",
       " 60: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T061_XY16_DIC.tif.png',\n",
       " 61: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T062_XY16_DIC.tif.png',\n",
       " 62: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T063_XY16_DIC.tif.png',\n",
       " 63: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T064_XY16_DIC.tif.png',\n",
       " 64: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T065_XY16_DIC.tif.png',\n",
       " 65: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T066_XY16_DIC.tif.png',\n",
       " 66: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T067_XY16_DIC.tif.png',\n",
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       " 225: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T226_XY16_DIC.tif.png',\n",
       " 226: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T227_XY16_DIC.tif.png',\n",
       " 227: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T228_XY16_DIC.tif.png',\n",
       " 228: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T229_XY16_DIC.tif.png',\n",
       " 229: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T230_XY16_DIC.tif.png',\n",
       " 230: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T231_XY16_DIC.tif.png',\n",
       " 231: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T232_XY16_DIC.tif.png',\n",
       " 232: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T233_XY16_DIC.tif.png',\n",
       " 233: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T234_XY16_DIC.tif.png',\n",
       " 234: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T235_XY16_DIC.tif.png',\n",
       " 235: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T236_XY16_DIC.tif.png',\n",
       " 236: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T237_XY16_DIC.tif.png',\n",
       " 237: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T238_XY16_DIC.tif.png',\n",
       " 238: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T239_XY16_DIC.tif.png',\n",
       " 239: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T240_XY16_DIC.tif.png',\n",
       " 240: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T241_XY16_DIC.tif.png',\n",
       " 241: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T242_XY16_DIC.tif.png',\n",
       " 242: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T243_XY16_DIC.tif.png',\n",
       " 243: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T244_XY16_DIC.tif.png',\n",
       " 244: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T245_XY16_DIC.tif.png',\n",
       " 245: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T246_XY16_DIC.tif.png',\n",
       " 246: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T247_XY16_DIC.tif.png',\n",
       " 247: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T248_XY16_DIC.tif.png',\n",
       " 248: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T249_XY16_DIC.tif.png',\n",
       " 249: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T250_XY16_DIC.tif.png',\n",
       " 250: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T251_XY16_DIC.tif.png',\n",
       " 251: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T252_XY16_DIC.tif.png',\n",
       " 252: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T253_XY16_DIC.tif.png',\n",
       " 253: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T254_XY16_DIC.tif.png',\n",
       " 254: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T255_XY16_DIC.tif.png',\n",
       " 255: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T256_XY16_DIC.tif.png',\n",
       " 256: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T257_XY16_DIC.tif.png',\n",
       " 257: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T258_XY16_DIC.tif.png',\n",
       " 258: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T259_XY16_DIC.tif.png',\n",
       " 259: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T260_XY16_DIC.tif.png',\n",
       " 260: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T261_XY16_DIC.tif.png',\n",
       " 261: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T262_XY16_DIC.tif.png',\n",
       " 262: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T263_XY16_DIC.tif.png',\n",
       " 263: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T264_XY16_DIC.tif.png',\n",
       " 264: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T265_XY16_DIC.tif.png',\n",
       " 265: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T266_XY16_DIC.tif.png',\n",
       " 266: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T267_XY16_DIC.tif.png',\n",
       " 267: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T268_XY16_DIC.tif.png',\n",
       " 268: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T269_XY16_DIC.tif.png',\n",
       " 269: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T270_XY16_DIC.tif.png',\n",
       " 270: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T271_XY16_DIC.tif.png',\n",
       " 271: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T272_XY16_DIC.tif.png',\n",
       " 272: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T273_XY16_DIC.tif.png',\n",
       " 273: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T274_XY16_DIC.tif.png',\n",
       " 274: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T275_XY16_DIC.tif.png',\n",
       " 275: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T276_XY16_DIC.tif.png',\n",
       " 276: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T277_XY16_DIC.tif.png',\n",
       " 277: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T278_XY16_DIC.tif.png',\n",
       " 278: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T279_XY16_DIC.tif.png',\n",
       " 279: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T280_XY16_DIC.tif.png',\n",
       " 280: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T281_XY16_DIC.tif.png',\n",
       " 281: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T282_XY16_DIC.tif.png',\n",
       " 282: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T283_XY16_DIC.tif.png',\n",
       " 283: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T284_XY16_DIC.tif.png',\n",
       " 284: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T285_XY16_DIC.tif.png',\n",
       " 285: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T286_XY16_DIC.tif.png',\n",
       " 286: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T287_XY16_DIC.tif.png',\n",
       " 287: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T288_XY16_DIC.tif.png',\n",
       " 288: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T289_XY16_DIC.tif.png',\n",
       " 289: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T290_XY16_DIC.tif.png',\n",
       " 290: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/out/XY16/seg/seg_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T291_XY16_DIC.tif.png'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask_dataset = LiveCellImageDataset(mask_dataset_path, ext=\"png\")\n",
    "mask_dataset.time2url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "time2url = sorted(glob.glob(str((Path(dataset_dir_path) / Path(\"*_DIC.tif\")))))\n",
    "time2url = {i: path for i, path in enumerate(time2url)}\n",
    "dic_dataset = LiveCellImageDataset(time2url=time2url, ext=\"tif\")\n",
    "# dic_dataset = LiveCellImageDataset(dataset_dir_path, ext=\"tif\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check if the `time2url` mapping is correct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T001_XY16_DIC.tif',\n",
       " 1: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T002_XY16_DIC.tif',\n",
       " 2: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T003_XY16_DIC.tif',\n",
       " 3: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T004_XY16_DIC.tif',\n",
       " 4: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T005_XY16_DIC.tif',\n",
       " 5: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T006_XY16_DIC.tif',\n",
       " 6: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T007_XY16_DIC.tif',\n",
       " 7: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T008_XY16_DIC.tif',\n",
       " 8: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T009_XY16_DIC.tif',\n",
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       " 262: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T263_XY16_DIC.tif',\n",
       " 263: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T264_XY16_DIC.tif',\n",
       " 264: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T265_XY16_DIC.tif',\n",
       " 265: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T266_XY16_DIC.tif',\n",
       " 266: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T267_XY16_DIC.tif',\n",
       " 267: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T268_XY16_DIC.tif',\n",
       " 268: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T269_XY16_DIC.tif',\n",
       " 269: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T270_XY16_DIC.tif',\n",
       " 270: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T271_XY16_DIC.tif',\n",
       " 271: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T272_XY16_DIC.tif',\n",
       " 272: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T273_XY16_DIC.tif',\n",
       " 273: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T274_XY16_DIC.tif',\n",
       " 274: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T275_XY16_DIC.tif',\n",
       " 275: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T276_XY16_DIC.tif',\n",
       " 276: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T277_XY16_DIC.tif',\n",
       " 277: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T278_XY16_DIC.tif',\n",
       " 278: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T279_XY16_DIC.tif',\n",
       " 279: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T280_XY16_DIC.tif',\n",
       " 280: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T281_XY16_DIC.tif',\n",
       " 281: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T282_XY16_DIC.tif',\n",
       " 282: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T283_XY16_DIC.tif',\n",
       " 283: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T284_XY16_DIC.tif',\n",
       " 284: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T285_XY16_DIC.tif',\n",
       " 285: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T286_XY16_DIC.tif',\n",
       " 286: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T287_XY16_DIC.tif',\n",
       " 287: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T288_XY16_DIC.tif',\n",
       " 288: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T289_XY16_DIC.tif',\n",
       " 289: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T290_XY16_DIC.tif',\n",
       " 290: '../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T291_XY16_DIC.tif'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic_dataset.time2url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you wish to only consider a subset of the data (e.g., the first ten timepoints), use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_time = 10\n",
    "mask_dataset = mask_dataset.subset_by_time(0, max_time)\n",
    "dic_dataset = dic_dataset.subset_by_time(0, max_time)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing and visualizing single cells:\n",
    "After loading the data, the next step involves processing the data to identify individual cells and visualize them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:10<00:00,  1.04s/it]\n"
     ]
    }
   ],
   "source": [
    "from skimage.measure import regionprops\n",
    "from livecellx.segment.utils import prep_scs_from_mask_dataset\n",
    "single_cells = prep_scs_from_mask_dataset(mask_dataset, dic_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "for sc in single_cells:\n",
    "    assert sc.mask_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "190"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(single_cells)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "single_cells_by_time = {}\n",
    "for cell in single_cells:\n",
    "    if cell.timeframe not in single_cells_by_time:\n",
    "        single_cells_by_time[cell.timeframe] = []\n",
    "    single_cells_by_time[cell.timeframe].append(cell)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize one single cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc = single_cells[0]\n",
    "\n",
    "fig, axes = plt.subplots(1, 4, figsize=(10, 5))\n",
    "sc.show(ax=axes[0])\n",
    "sc.show_mask(ax=axes[1])\n",
    "sc.show_contour_img(ax=axes[2])\n",
    "sc.show_contour_mask(ax=axes[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<Axes: title={'center': 'img'}>, <Axes: title={'center': 'mask'}>,\n",
       "       <Axes: title={'center': 'contour_img'}>,\n",
       "       <Axes: title={'center': 'contour_mask'}>,\n",
       "       <Axes: title={'center': 'mask_crop'}>], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.show_panel(figsize=(15, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc1 = single_cells[1]\n",
    "sc2 = single_cells[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature extraction:\n",
    "For each identified cell, you can compute various features, such as shape and texture, which can help further in the analysis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from livecellx.trajectory.feature_extractors import compute_skimage_regionprops, compute_haralick_features\n",
    "\n",
    "skimage_features = compute_skimage_regionprops(sc1)\n",
    "sc1.add_feature(\"skimage\", skimage_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# haralick_features = compute_haralick_features(sc1)\n",
    "# sc1.add_feature(\"haralick\", haralick_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "skimage_area                 3173.000000\n",
       "skimage_area_bbox            4488.000000\n",
       "skimage_area_convex          3311.000000\n",
       "skimage_area_filled          3173.000000\n",
       "skimage_axis_major_length     101.795961\n",
       "                                ...     \n",
       "skimage_orientation            -1.542148\n",
       "skimage_perimeter             252.852814\n",
       "skimage_perimeter_crofton     242.401016\n",
       "skimage_solidity                0.958321\n",
       "t                               0.000000\n",
       "Length: 148, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc1.get_feature_pd_series()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate overlap between two single cells"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.0)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc1.compute_iou(sc2), sc1.compute_overlap_percent(sc2)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Single-cell tracking:\n",
    "One of the main challenges in analyzing data is tracking individual cells as they move, grow, and divide. Here, we uses the SORT algorithm for tracking:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T001_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T002_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T003_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T004_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T005_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T006_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T007_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T008_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T009_XY16_DIC.tif\n",
      "matching image path: ../datasets/EBSS_Starvation/tif_STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21/XY16/STAV-A549_VIM_24hours_NoTreat_NA_YL_Ti2e_2022-12-21_T010_XY16_DIC.tif\n"
     ]
    }
   ],
   "source": [
    "from typing import List\n",
    "from livecellx.track.sort_tracker_utils import (\n",
    "    gen_SORT_detections_input_from_contours,\n",
    "    update_traj_collection_by_SORT_tracker_detection,\n",
    "    track_SORT_bbox_from_contours,\n",
    "    track_SORT_bbox_from_scs\n",
    ")\n",
    "\n",
    "\n",
    "traj_collection = track_SORT_bbox_from_scs(single_cells, dic_dataset, mask_dataset=mask_dataset, max_age=1, min_hits=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trajectory Length Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Count'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjIAAAGdCAYAAAAIbpn/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAbHklEQVR4nO3dfWyV9f3/8XdBLMyUgjAQsEhtnMqNioDGsjj9ynROjWaLmwkuhGVqZuXGJm4wRYZ3VZMxoiCImTfLxtRkczozNVqn6LwBDuLEeX83ggPcFI7iPPprz+8Pv/abDqhQi9f1oY9HcpKd6/TAi52aPnPOdU4ryuVyOQAAEtQj6wEAAJ0lZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEjWXlkP2N1aW1vj7bffjqqqqqioqMh6DgCwE8rlcrz//vsxdOjQ6NFjx8+77PEh8/bbb0dNTU3WMwCATli3bl3sv//+O7x9jw+ZqqqqiPj0/4i+fftmvAYA2BnFYjFqamrafo7vyB4fMp+9nNS3b18hAwCJ+bzTQpzsCwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACRLyAAAyco0ZJYvXx6nnXZaDB06NCoqKuKPf/xju9vL5XJceumlMWTIkOjTp09MmjQpXnnllWzGAgC5k2nIbN26NQ4//PBYtGjRdm+/9tpr47rrroslS5bE008/Hfvss0+cdNJJ8dFHH33JSwGAPMr0l0aefPLJcfLJJ2/3tnK5HAsWLIhLLrkkTj/99IiI+PWvfx2DBw+OP/7xj3HWWWd9mVMBgBzK7W+/fuONN2LDhg0xadKktmPV1dVx9NFHx5NPPrnDkCmVSlEqldquF4vF3b4VALqDUqkUhUKh3bFx48ZFZWVlRotyHDIbNmyIiIjBgwe3Oz548OC227anqakp5s2bt1u3AUB3VCgUYvoNd0e/YXUREbF5/Wtx3fkR9fX1mW3a4961NHv27NiyZUvbZd26dVlPAoA9Rr9hdTGwbkwMrBvTFjRZym3I7LfffhERsXHjxnbHN27c2Hbb9lRWVkbfvn3bXQCAPVNuQ6a2tjb222+/aG5ubjtWLBbj6aefjmOOOSbDZQBAXmR6jswHH3wQr776atv1N954I9asWRP77rtvDB8+PGbOnBlXXHFFHHTQQVFbWxtz5syJoUOHxhlnnJHdaAAgNzINmVWrVsXxxx/fdr2xsTEiIqZMmRK33npr/OQnP4mtW7fGueeeG5s3b46vf/3rcf/990fv3r2zmgwA5EimIXPcccdFuVze4e0VFRVx2WWXxWWXXfYlrgIAUpHbc2QAAD6PkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWbkOmZaWlpgzZ07U1tZGnz59oq6uLi6//PIol8tZTwMAcmCvrAd05JprronFixfHbbfdFqNGjYpVq1bF1KlTo7q6OqZPn571PAAgY7kOmSeeeCJOP/30OOWUUyIiYsSIEfG73/0uVqxYkfEyACAPch0y9fX1sXTp0nj55Zfja1/7Wjz77LPx+OOPx/z583d4n1KpFKVSqe16sVjcLdtKpVIUCoVtjo8bNy4qKyt3y98JALSX65CZNWtWFIvFOOSQQ6Jnz57R0tISV155ZUyePHmH92lqaop58+bt9m2FQiGm33B39BtW13Zs8/rX4rrzPw0wAGD3y3XI3HnnnfHb3/42li1bFqNGjYo1a9bEzJkzY+jQoTFlypTt3mf27NnR2NjYdr1YLEZNTc1u2ddvWF0MrBuzW/5sAODz5TpkLrroopg1a1acddZZERExZsyYeOutt6KpqWmHIVNZWemlHQDoJnL99usPP/wwevRoP7Fnz57R2tqa0SIAIE9y/YzMaaedFldeeWUMHz48Ro0aFc8880zMnz8/fvjDH2Y9DQDIgVyHzPXXXx9z5syJ888/PzZt2hRDhw6N8847Ly699NKspwEAOZDrkKmqqooFCxbEggULsp4CAORQrs+RAQDoiJABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBk5T5k1q9fH2effXYMGDAg+vTpE2PGjIlVq1ZlPQsAyIG9sh7Qkffeey8mTpwYxx9/fNx3333x1a9+NV555ZXo379/1tMAgBzIdchcc801UVNTE7fcckvbsdra2gwXAQB5kuuXlu65554YP358nHnmmTFo0KAYO3Zs3HTTTR3ep1QqRbFYbHcBAPZMuQ6Z119/PRYvXhwHHXRQPPDAA/HjH/84pk+fHrfddtsO79PU1BTV1dVtl5qami9xMQDwZcp1yLS2tsaRRx4ZV111VYwdOzbOPffcOOecc2LJkiU7vM/s2bNjy5YtbZd169Z9iYsBgC9TrkNmyJAhMXLkyHbHDj300PjHP/6xw/tUVlZG3759210AgD1TrkNm4sSJ8dJLL7U79vLLL8cBBxyQ0SIAIE9yHTIXXnhhPPXUU3HVVVfFq6++GsuWLYulS5dGQ0ND1tMAgBzIdchMmDAh7rrrrvjd734Xo0ePjssvvzwWLFgQkydPznoaAJADuf4cmYiIU089NU499dSsZwAAOZTrZ2QAADrSqZA58MAD49///vc2xzdv3hwHHnjgFx4FALAzOhUyb775ZrS0tGxzvFQqxfr167/wKACAnbFL58jcc889bf/7gQceiOrq6rbrLS0t0dzcHCNGjOiycQAAHdmlkDnjjDMiIqKioiKmTJnS7rZevXrFiBEj4he/+EWXjQMA6MguhUxra2tEfPobqFeuXBkDBw7cLaMAAHZGp95+/cYbb3T1DgCAXdbpz5Fpbm6O5ubm2LRpU9szNZ+5+eabv/AwAIDP06mQmTdvXlx22WUxfvz4GDJkSFRUVHT1LgCAz9WpkFmyZEnceuut8YMf/KCr9wAA7LROfY7Mxx9/HPX19V29BQBgl3QqZH70ox/FsmXLunoLAMAu6dRLSx999FEsXbo0HnrooTjssMOiV69e7W6fP39+l4wDAOhIp0Lmb3/7WxxxxBEREbF27dp2tznxFwD4snQqZP7yl7909Q4AgF3WqXNkAADyoFPPyBx//PEdvoT08MMPd3oQAMDO6lTIfHZ+zGc++eSTWLNmTaxdu3abXyYJALC7dCpkfvnLX273+M9//vP44IMPvtAgAICd1aXnyJx99tl+zxIA8KXp0pB58skno3fv3l35RwIA7FCnXlr6zne+0+56uVyOf/7zn7Fq1aqYM2dOlwwDAPg8nQqZ6urqdtd79OgRBx98cFx22WVx4okndskwAIDP06mQueWWW7p6BwDALutUyHymUCjECy+8EBERo0aNirFjx3bJKACAndGpkNm0aVOcddZZ8cgjj0S/fv0iImLz5s1x/PHHx+233x5f/epXu3IjAMB2depdS9OmTYv3338/nn/++Xj33Xfj3XffjbVr10axWIzp06d39UYAgO3q1DMy999/fzz00ENx6KGHth0bOXJkLFq0yMm+ZKJUKkWhUGh3bNy4cVFZWZnRIgC+DJ0KmdbW1ujVq9c2x3v16hWtra1feBTsqkKhENNvuDv6DauLiIjN61+L686PqK+vz3gZALtTp15a+p//+Z+YMWNGvP32223H1q9fHxdeeGGccMIJXTYOdkW/YXUxsG5MDKwb0xY0AOzZOhUyCxcujGKxGCNGjIi6urqoq6uL2traKBaLcf3113f1RgCA7erUS0s1NTWxevXqeOihh+LFF1+MiIhDDz00Jk2a1KXjAAA6skvPyDz88MMxcuTIKBaLUVFREd/85jdj2rRpMW3atJgwYUKMGjUqHnvssd21FQCgnV0KmQULFsQ555wTffv23ea26urqOO+882L+/PldNg4AoCO7FDLPPvtsfOtb39rh7SeeeOI2b4EFANhddilkNm7cuN23XX9mr732infeeecLjwIA2Bm7FDLDhg2LtWvX7vD2v/3tbzFkyJAvPAoAYGfsUsh8+9vfjjlz5sRHH320zW3/+c9/Yu7cuXHqqad22TgAgI7s0tuvL7nkkvjDH/4QX/va1+KCCy6Igw8+OCIiXnzxxVi0aFG0tLTExRdfvFuGAgD8t10KmcGDB8cTTzwRP/7xj2P27NlRLpcjIqKioiJOOumkWLRoUQwePHi3DAUA+G+7/IF4BxxwQPz5z3+O9957L1599dUol8tx0EEHRf/+/XfHPgCAHerUJ/tGRPTv3z8mTJjQlVsAAHZJp37XEgBAHggZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQlFTJXX311VFRUxMyZM7OeAgDkQDIhs3LlyrjxxhvjsMMOy3oKAJATSYTMBx98EJMnT46bbrop+vfvn/UcACAn9sp6wM5oaGiIU045JSZNmhRXXHFFh19bKpWiVCq1XS8Wi7t7XtJKpVIUCoVtjo8bNy4qKyszWAQAOy/3IXP77bfH6tWrY+XKlTv19U1NTTFv3rzdvGrPUSgUYvoNd0e/YXVtxzavfy2uOz+ivr4+w2UA8PlyHTLr1q2LGTNmxIMPPhi9e/feqfvMnj07Ghsb264Xi8WoqanZXRP3CP2G1cXAujFZzwCAXZbrkCkUCrFp06Y48sgj2461tLTE8uXLY+HChVEqlaJnz57t7lNZWeklEQDoJnIdMieccEI899xz7Y5NnTo1DjnkkPjpT3+6TcQAAN1LrkOmqqoqRo8e3e7YPvvsEwMGDNjmOADQ/STx9msAgO3J9TMy2/PII49kPQEAyAnPyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACRLyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACRLyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACRLyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACRLyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLKEDACQLCEDACQr1yHT1NQUEyZMiKqqqhg0aFCcccYZ8dJLL2U9CwDIiVyHzKOPPhoNDQ3x1FNPxYMPPhiffPJJnHjiibF169aspwEAObBX1gM6cv/997e7fuutt8agQYOiUCjEsccem9EqACAvch0y/23Lli0REbHvvvvu8GtKpVKUSqW268Vicbfvgq5QKpWiUChsc3zcuHFRWVmZwSJS53uK7iCZkGltbY2ZM2fGxIkTY/To0Tv8uqamppg3b96XuAy6RqFQiOk33B39htW1Hdu8/rW47vyI+vr6DJeRKt9TdAfJhExDQ0OsXbs2Hn/88Q6/bvbs2dHY2Nh2vVgsRk1Nze6eB12i37C6GFg3JusZ7EF8T7GnSyJkLrjggrj33ntj+fLlsf/++3f4tZWVlZ4yBYBuItchUy6XY9q0aXHXXXfFI488ErW1tVlPAgByJNch09DQEMuWLYu77747qqqqYsOGDRERUV1dHX369Ml4HQCQtVx/jszixYtjy5Ytcdxxx8WQIUPaLnfccUfW0wCAHMj1MzLlcjnrCQBAjuX6GRkAgI4IGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEjWXlkPAPYspVIpCoVCu2Pjxo2LysrKjBaROt9TdETIAF2qUCjE9Bvujn7D6iIiYvP61+K68yPq6+szXkaqfE/RESEDdLl+w+piYN2YrGewB/E9xY44RwYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEiWkAEAkiVkAIBkCRkAIFlCBgBIlpABAJIlZACAZAkZACBZQgYASJaQAQCSJWQAgGQJGQAgWUIGAEhWEiGzaNGiGDFiRPTu3TuOPvroWLFiRdaTAIAcyH3I3HHHHdHY2Bhz586N1atXx+GHHx4nnXRSbNq0KetpAEDGch8y8+fPj3POOSemTp0aI0eOjCVLlsRXvvKVuPnmm7OeBgBkbK+sB3Tk448/jkKhELNnz2471qNHj5g0aVI8+eST271PqVSKUqnUdn3Lli0REVEsFrt029atW+Pfb/49/l/pP//3d/3zjVix4sPYunVrl/5du9Pzzz8f/37zzT3u37En/Bsi9ox/R4r/hj2F7ym62vYei61ba7v8Z2zE//3cLpfLHX9hOcfWr19fjojyE0880e74RRddVD7qqKO2e5+5c+eWI8LFxcXFxcVlD7isW7euw1bI9TMynTF79uxobGxsu97a2hrvvvtuDBgwICoqKrrs7ykWi1FTUxPr1q2Lvn37dtmfS+d5TPLF45EvHo988Xh8vnK5HO+//34MHTq0w6/LdcgMHDgwevbsGRs3bmx3fOPGjbHffvtt9z6VlZVRWVnZ7li/fv1218To27evb8Kc8Zjki8cjXzwe+eLx6Fh1dfXnfk2uT/bde++9Y9y4cdHc3Nx2rLW1NZqbm+OYY47JcBkAkAe5fkYmIqKxsTGmTJkS48ePj6OOOioWLFgQW7dujalTp2Y9DQDIWO5D5vvf/3688847cemll8aGDRviiCOOiPvvvz8GDx6c6a7KysqYO3fuNi9jkR2PSb54PPLF45EvHo+uU1Euf977mgAA8inX58gAAHREyAAAyRIyAECyhAwAkCwh00mLFi2KESNGRO/evePoo4+OFStWZD2pW2pqaooJEyZEVVVVDBo0KM4444x46aWXsp7F/7r66qujoqIiZs6cmfWUbm39+vVx9tlnx4ABA6JPnz4xZsyYWLVqVdazuqWWlpaYM2dO1NbWRp8+faKuri4uv/zyz/99QuyQkOmEO+64IxobG2Pu3LmxevXqOPzww+Okk06KTZs2ZT2t23n00UejoaEhnnrqqXjwwQfjk08+iRNPPNEvk8uBlStXxo033hiHHXZY1lO6tffeey8mTpwYvXr1ivvuuy/+/ve/xy9+8Yvo379/1tO6pWuuuSYWL14cCxcujBdeeCGuueaauPbaa+P666/PelqyvP26E44++uiYMGFCLFy4MCI+/bThmpqamDZtWsyaNSvjdd3bO++8E4MGDYpHH300jj322KzndFsffPBBHHnkkXHDDTfEFVdcEUcccUQsWLAg61nd0qxZs+Kvf/1rPPbYY1lPISJOPfXUGDx4cPzqV79qO/bd7343+vTpE7/5zW8yXJYuz8jsoo8//jgKhUJMmjSp7ViPHj1i0qRJ8eSTT2a4jIiILVu2RETEvvvum/GS7q2hoSFOOeWUdv+dkI177rknxo8fH2eeeWYMGjQoxo4dGzfddFPWs7qt+vr6aG5ujpdffjkiIp599tl4/PHH4+STT854Wbpy/8m+efOvf/0rWlpatvlk4cGDB8eLL76Y0SoiPn1mbObMmTFx4sQYPXp01nO6rdtvvz1Wr14dK1euzHoKEfH666/H4sWLo7GxMX72s5/FypUrY/r06bH33nvHlClTsp7X7cyaNSuKxWIccsgh0bNnz2hpaYkrr7wyJk+enPW0ZAkZ9hgNDQ2xdu3aePzxx7Oe0m2tW7cuZsyYEQ8++GD07t076znEp4E/fvz4uOqqqyIiYuzYsbF27dpYsmSJkMnAnXfeGb/97W9j2bJlMWrUqFizZk3MnDkzhg4d6vHoJCGziwYOHBg9e/aMjRs3tju+cePG2G+//TJaxQUXXBD33ntvLF++PPbff/+s53RbhUIhNm3aFEceeWTbsZaWlli+fHksXLgwSqVS9OzZM8OF3c+QIUNi5MiR7Y4deuih8fvf/z6jRd3bRRddFLNmzYqzzjorIiLGjBkTb731VjQ1NQmZTnKOzC7ae++9Y9y4cdHc3Nx2rLW1NZqbm+OYY47JcFn3VC6X44ILLoi77rorHn744aitrc16Urd2wgknxHPPPRdr1qxpu4wfPz4mT54ca9asETEZmDhx4jYfSfDyyy/HAQcckNGi7u3DDz+MHj3a/+jt2bNntLa2ZrQofZ6R6YTGxsaYMmVKjB8/Po466qhYsGBBbN26NaZOnZr1tG6noaEhli1bFnfffXdUVVXFhg0bIiKiuro6+vTpk/G67qeqqmqb85P22WefGDBggPOWMnLhhRdGfX19XHXVVfG9730vVqxYEUuXLo2lS5dmPa1bOu200+LKK6+M4cOHx6hRo+KZZ56J+fPnxw9/+MOsp6WrTKdcf/315eHDh5f33nvv8lFHHVV+6qmnsp7ULUXEdi+33HJL1tP4X9/4xjfKM2bMyHpGt/anP/2pPHr06HJlZWX5kEMOKS9dujTrSd1WsVgsz5gxozx8+PBy7969ywceeGD54osvLpdKpaynJcvnyAAAyXKODACQLCEDACRLyAAAyRIyAECyhAwAkCwhAwAkS8gAAMkSMgBAsoQMAJAsIQMAJEvIAADJEjIAQLL+P19/wyCpyVWNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "traj_collection.histogram_traj_length()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization with Napari:\n",
    "Napari is a multi-dimensional image viewer for python. It provides an interactive platform to visualize and analyze the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "%gui qt\n",
    "from livecellx.core.napari_visualizer import NapariVisualizer\n",
    "import napari\n",
    "from skimage import data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "for time in dic_dataset.times:\n",
    "    assert time in dic_dataset.time2url\n",
    "    assert dic_dataset.time2url[time] is not None\n",
    "    # assert dic_dataset.read_img_url_func(dic_dataset.time2url[time]) is not None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def to_dask(self, times=None, ram=False):\n",
    "#     \"\"\"convert to a dask array for napari visualization\"\"\"\n",
    "#     import dask.array as da\n",
    "#     from dask import delayed\n",
    "#     if times is None:\n",
    "#         times = self.times\n",
    "#     if ram:\n",
    "#         return da.stack([da.from_array(self.time2url[time]) for time in times])\n",
    "    \n",
    "#     lazy_reader = delayed(self.read_img_url_func)\n",
    "#     lazy_arrays = [lazy_reader(self.time2url[time]) for time in times]\n",
    "#     dask_arrays = [da.from_delayed(lazy_array, shape=(100, 100), dtype=int) for lazy_array in lazy_arrays]\n",
    "#     return da.stack(dask_arrays)\n",
    "\n",
    "# shape = dic_dataset.infer_shape()\n",
    "# to_dask(dic_dataset)\n",
    "# dic_dataset.to_dask = to_dask\n",
    "# mask_dataset.to_dask = to_dask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from livecellx.core.single_cell import SingleCellStatic, SingleCellTrajectory, SingleCellTrajectoryCollection\n",
    "import numpy as np\n",
    "from napari.viewer import Viewer\n",
    "from livecellx.core.visualizer import Visualizer"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize with napari "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# viewer = napari.view_image(dic_dataset.to_dask(), name='dic_image', cache=True)\n",
    "# shape_layer = NapariVisualizer.viz_trajectories(traj_collection, viewer, contour_sample_num=20)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Editing trajectories:\n",
    "Once trajectories are visualized, users can edit or modify them using the provided tools:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from napari.layers import Shapes\n",
    "from livecellx.core.single_cell import SingleCellTrajectoryCollection\n",
    "from livecellx.core.sct_operator import SctOperator, create_sct_napari_ui\n",
    "\n",
    "\n",
    "viewer = napari.view_image(dic_dataset.to_dask(), name=\"dic_image\", cache=True)\n",
    "shape_layer = NapariVisualizer.viz_trajectories(traj_collection, viewer, contour_sample_num=20)\n",
    "sct_operator = SctOperator(traj_collection, shape_layer, viewer)\n",
    "sct_operator.setup_shape_layer(shape_layer, viewer=viewer)\n",
    "\n",
    "create_sct_napari_ui(sct_operator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from livecellx.preprocess.utils import normalize_img_to_uint8\n",
    "\n",
    "img = normalize_img_to_uint8(dic_dataset.get_img_by_time(2))\n",
    "import PIL\n",
    "# save img\n",
    "PIL.Image.fromarray(img).save(\"img.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sct_operator.update_shape_layer_by_track_id(6, face_color=\"blue\", new_track_id=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sct_operator.connect_two_scts()\n",
    "# sct_operator.disconnect_sct()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sct_operator.clear_selection()\n",
    "# sct_operator.connect_two_scts()\n",
    "# sct_operator.add_mother_daughter_relation()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "current shape layer shape properties:  <object object at 0x0000019CED8E6650>\n",
      "No shape selected, please select a shape to connect trajectories\n"
     ]
    }
   ],
   "source": [
    "event = object()\n",
    "sct_operator.select_shape(event)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sct_operator.select_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "sct_operator.magicgui_container[2].hide()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from qtpy.QtWidgets import QPushButton\n",
    "# connect_btn = QPushButton('Connect two trajectories')\n",
    "# connect_btn.resize(100, 100)\n",
    "# connect_btn.clicked.connect(sct_operator.connect_two_scts)\n",
    "# widget = viewer.window.add_dock_widget(connect_btn, name=\"edit trajectory\")\n",
    "\n",
    "# clear_btn = QPushButton('Clear selection')\n",
    "# clear_btn.resize(100, 100)\n",
    "# clear_btn.clicked.connect(sct_operator.clear_selection)\n",
    "# viewer.window.add_dock_widget(clear_btn, name=\"edit trajectory\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "shape = shape_layer.data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# viewer.layers.selection.events.active.connect(lambda x: print(dir(x)))"
   ]
  }
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