from PIL import Image

import skimage

from skimage import data, color, img_as_ubyte

from matplotlib import pyplot as plt

import pickle

from mpl_toolkits.mplot3d import Axes3D

import numpy as np

from random import randint

import gaussfitter

from scipy import ndimage

from scipy import ndimage as ndi

from skimage.morphology import extrema

from skimage import exposure

from skimage.measure import label

from skimage.morphology import reconstruction, binary_closing

from scipy.ndimage.morphology import binary_fill_holes

from skimage.filters import threshold_isodata

from skimage.measure import perimeter

import os

#folders = ['Y_2_converted', 'Y_3_converted', 'Y_4_converted','O_1_converted', 'O_2_converted']

folders = ['old', 'young']

channel = {1:'B/W', 2:'CD63', 3: 'PanEV', 4: 'alt KL', 6: 'SSC', 7:'cd81', 9: 'B/W', 11:'WT KL'}

class BioImage:

return params