text: import sys  
  sys.path.insert(0, '/home/cbisot/pycode/MscThesis/')
  from amftrack.pipeline.functions.post_processing.extract_study_zone import *
  import pandas as pd
  import ast
  from amftrack.plotutil import plot_t_tp1
  from scipy import sparse
  from datetime import datetime
  import pickle
  import scipy.io as sio
  from pymatreader import read_mat
  from matplotlib import colors
  import cv2
  import imageio
  import matplotlib.pyplot as plt
  import numpy as np
  from skimage.filters import frangi
  from skimage import filters
  from random import choice
  import scipy.sparse
  import os
  from skimage.feature import hessian_matrix_det
  from amftrack.pipeline.paths.directory import run_parallel, find_state, directory_scratch, directory_project
  from amftrack.notebooks.analysis.util import * 
  from scipy import stats
  from scipy.ndimage.filters import uniform_filter1d
  from collections import Counter
  from IPython.display import clear_output
  from amftrack.notebooks.analysis.data_info import *
  from IPython.core.interactiveshell import InteractiveShell
  InteractiveShell.ast_node_interactivity = "all"
  plt.rcParams.update({
      "font.family": "verdana",
  'font.weight' : 'normal',
  'font.size': 20})
  from amftrack.plotutil import plot_node_skel
  from amftrack.notebooks.validation.util import *
  from amftrack.pipeline.paths.directory import *
  from amftrack.util import *
  from amftrack.notebooks.post_processing.util import *
  import pickle
  
  def sum_of_lists(N):
  
      directory = directory_project
      update_analysis_info(directory)
      analysis_info = get_analysis_info(directory)
      select = analysis_info
      num = 1
      rows = [row for (index, row) in select.iterrows()]
      for index,row in enumerate(rows):
          path = f'{directory}{row["folder_analysis"]}'
          print(index,row["Plate"])
          try:
              a = np.load(f'{path}/center.npy')
          except:
              print(index,row["Plate"])
          if index == num:
              path_exp = f'{directory}{row["path_exp"]}'
              exp = pickle.load(open(path_exp, "rb"))
              exp.dates.sort()
              break
  