{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test for Workshop in image processing with Python"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Write your answers as code in one or multiple cells below each question. Check that your code works by executing each cell. If your code sovles the problem you get all points. If your code does not work or you are not confident in your answer, you can add comments describing your code and get up to half the points of the question.\n",
    "\n",
    "For some questions, basic data are provided to you through an initial cell that you have to execute to be able to use these data.\n",
    "\n",
    "To avoid that anyone gets completely stuck because of wrongly imported modules, you can import all the necessary ones by executing the cell below. Be aware of the abbreviations used (np, pd, plt)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import skimage\n",
    "import skimage.io\n",
    "import skimage.filters\n",
    "import skimage.measure\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Basic python\n",
    "You are provided with the string below.\n",
    "1. Find the number of characters in the string \n",
    "- Modify the string so that **all** characters have lower case\n",
    "- Find how many times the sub-string ```th``` appears in that modified string?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_string = 'This is the text provided for the test'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Basic Python 2\n",
    "You are provided with two variables below ```a``` and ```b```\n",
    "\n",
    "1. What is the type of each variable\n",
    "- Create a new variable ```c``` by multiplying a and b\n",
    "- What is the type of this new variable? Give a very brief explanation\n",
    "- Calculate whether ```c``` is larger than ```a``` and store the variable into the variable ```d```\n",
    "- What is the type of the ```d``` ?\n",
    "- What logical operator (```and```, ```not```, ```or``` etc.) can you use to negate ```d```?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 2\n",
    "b = 1.3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Loops and logical structures\n",
    "Consider the list of numbers defined below and called my_list\n",
    "- Using a for loop and conditional statements (if, elif etc) create two new lists: one that contains all elements of ```my_list``` that are larger than 50, the other all the elements of ```my_list``` that are smaller or equal to 50 **and** larger than 10."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_list = [17, 92, 80, 86, 37, 93, 87, 51, 60, 23, 81, 66, 95, 32, 54, 81, 54,\n",
    "           86, 46, 20, 46,  6, 80, 63, 54, 34, 31, 63, 65, 31, 75, 90, 93, 84,\n",
    "           68, 90, 63, 90, 19, 58, 62, 55, 32, 34, 85, 90, 92, 64, 85, 15, 97,\n",
    "           50, 65, 86,  9, 76,  3, 50, 30, 62, 50,  0, 58,  0, 88,  4, 44, 60,\n",
    "           61,  9, 75, 40, 73, 74, 64, 36, 51, 89, 33, 17, 78, 72, 37, 98, 35,\n",
    "           79, 64, 64, 79, 72,  9, 45, 54, 23,  8, 91, 14, 77, 34, 61]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Data structures\n",
    "1. Create a list of four dictionaries describing properties of a group of objects of your choice (e.g. different types of cars or dogs). At least one of the keywords should be numerical.\n",
    "- Turn your list of dictionaries into a Pandas Dataframe\n",
    "- Calculate the mean value of all the properties of your Dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Functions\n",
    "\n",
    "1. Define a function that takes two lists as parameters. The function measures the length of the two lists. If both lengths are larger than 5, the function returns ```True```, otherwise it returns ```False```.\n",
    "- Create two examples to test your function. One that returns ```True```, the other ```False```.\n",
    "- Create a new function that does the same work but that defines the length threshold (set to 5 above) as an **optional** parameter\n",
    "- Using one of your examples, show that the output of the function changes when you appropriately change the threshold "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Numpy functions and indexing\n",
    "1. Within the random submodule of Numpy (numpy.random) find a function that generates random numbers drawn from a Gaussian distribution. \n",
    "- Using that function, generate an array of 15 Gaussian random numbers with mean = 10 and standard deviation = 2 and call it ```my_array```\n",
    "- Create a boolean array which contains ```True``` for all positions in my_array that are larger than a threshold of 10 and ```False``` otherwise.\n",
    "- Using logical indexing with the original array and the boolean array, extract the values of all positions in ```my_array``` that are ```True``` in the boolean array."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Numpy arrays\n",
    "1. Create two numpy arrays, ```my_array1``` and ```my_array2```, both with 4 rows and 6 columns. ```my_array1``` only contains 10's and ```my_array2``` only 3's (hint: as basis, use ```np.ones()``` to create arrays filled with 1's)\n",
    "- Create a new array ```my_array3``` which is the division of ```my_array1``` by ```my_array2```\n",
    "- What **type** of values does ```my_array3``` contain (int, boolean, float etc.) ?\n",
    "- Using slicing, create a new array that contains only the second row of ```my_array3```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Images\n",
    "1. Using the skimage package and in particular its io submodule, import the image found at this address and call it my_image:\n",
    "https://cildata.crbs.ucsd.edu/media/images/41678/41678.tif\n",
    "- What are the dimensions of the image?\n",
    "- Using slicing extract only the first plane (index = 0) of the stack\n",
    "- Using the ```imshow()``` function of matplotlib.pyplot, plot that single slice\n",
    "- Change the color map of the image to another color map of your choice"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. Thresholding\n",
    "A 2D image of stained nuclei is provided to you below in the variable named nuclei (you have to run the cell)\n",
    "1. Use Li thresholding method found in skimage.filters to create a mask of the image\n",
    "- Plot the mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "image = skimage.io.imread('https://cildata.crbs.ucsd.edu/media/images/48101/48101.tif')\n",
    "nuclei = image[:,:,2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10. Data analysis\n",
    "An image of cell nuclei and a mask are provided to you via the cell below (see the original image [here](http://cellimagelibrary.org/images/48103))\n",
    "\n",
    "1. Use the ```regionprops()``` function of skimage to measure all the objects in the mask (remember that you cannot use the binary mask directly)\n",
    "- Using the result of ```regionprops()```, create a list that contains only the area of each nucleus\n",
    "- Using the ```hist()``` function of matplotlib.pyplot, plot a histogram of those values\n",
    "\n",
    "- Use ```regionprops()``` again but now in adddition to the mask, provide also the original image as ```intensity_image``` parameter\n",
    "- This time recover the mean intensity of each object and make a histogram of these data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image = skimage.io.imread('https://drive.google.com/uc?authuser=0&id=1eRk_Bx-eV9mw0t7Kkwbkcx_F1Z5rdVr3&export=download')\n",
    "mask = skimage.io.imread('https://drive.google.com/uc?authuser=0&id=1nxqMth8hWtZhROOTvztJc-_ZqQ4t6pOZ&export=download')\n",
    "fig, ax = plt.subplots(1,2,figsize=(10,10))\n",
    "ax[0].imshow(image)\n",
    "ax[1].imshow(mask)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "288px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
