{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Human Protein Atlas - Single Cell Classification: Scientific Introduction and Exploratory Data Analysis","metadata":{}},{"cell_type":"markdown","source":"## Introduction ","metadata":{}},{"cell_type":"markdown","source":"Proteins play a role in all cellular processes.  Microscopy makes it possible to study differences in the localization of proteins within a population of cells.  Different proteins are at a specific location in the cell to perform a specific reaction.  Different subcellular distributions of a single protein may result in different reactions between cells.  Understanding these differences and how it affects cellular functioning may help in the understanding how diseases develop and how to develop treatments (The Human Protein Atlas).\n\nThe Human Protein Atlas is aimed at mapping proteins in all human organs, tissues, and cells.  Data from this atlas is provided to develop models capable of segmenting and classifying each individual cell by classifying protein localization patterns (The Human Protein Atlas).  \n\nThe purpose of this notebook is to explain the basic science and techniques behind the data and to explore the data for this competition.","metadata":{}},{"cell_type":"markdown","source":"## Import Dependencies","metadata":{}},{"cell_type":"code","source":"!pip install https://github.com/CellProfiling/HPA-Cell-Segmentation/archive/master.zip","metadata":{"_kg_hide-output":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import warnings\nimport os\nimport cv2\nimport numpy as np\nimport pandas as pd\nfrom glob import glob\nfrom tqdm.notebook import tqdm\nfrom IPython.display import display, HTML, YouTubeVideo, Image\n\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\n%matplotlib inline\nwarnings.filterwarnings('ignore')","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"display(HTML(\"\"\"\n<style>\n.output {\n    display: flex;\n    align-items: center;\n    text-align: center;\n}\n</style>\n\"\"\"))","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## What is a Cell and What is its Components?","metadata":{}},{"cell_type":"markdown","source":"The cell is the smallest unit of structure and function in living organisms.  An organism can be unicellular or multicellular.  Organelles are small cellular structures that carry out specific functions within the cell, such as protein synthesis, energy production, and lipid synthesis.  Examples of cellular organelles are the nucleus, mitochondrion, endoplasmic reticulum, and golgi apparatus.  Biological macromolecules are large essential biological molecules built from smaller organic molecules.  These molecules make up organelles.  Example of biological macromolecules are carbohydrates, lipids, proteins, and nucleic acids (Douglas et al. 2018).  \n\nThe cytoskeleton is a network of protein fibers that serve several functions in the cell.  The functions of the cytoskeleton are helping to maintain cellular shape, help with movement of vesicles in the cell, secure organelles, and enable cellular movement.  The three protein fibers in the cytoplasm are microfilaments, intermediate filaments, and microtubules (Douglas et al. 2018).\n\nBelow is a diagram of the cell along with its main organelle.  Each organelle has its distinct function (Douglas et al. 2018).  ","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://openstax.org/resources/cfcddc2f9771c9b78b782121ca741d3d39d760e5\" width=\"475\" height=\"475\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Douglas, Matthew, et al. Biology 2e. Rice University, 2018. \n\nCreative Commons Attribution License v4.0","metadata":{}},{"cell_type":"markdown","source":"## What is a protein?","metadata":{}},{"cell_type":"markdown","source":"Proteins are a type of biological macromolecule in the cell.  Proteins are distributed throughout the cell and play a role in all cellular processes.  Each cell contains thousands of proteins with a distinct structure and function (Douglas et al. 2018).  The table below from Douglas et al. describes the primary functions of proteins.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:image.png)\nDouglas, Matthew, et al. Biology 2e. Rice University, 2018. 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"}}},{"cell_type":"markdown","source":"### How are Proteins Made in the Cell?","metadata":{}},{"cell_type":"markdown","source":"The central dogma explains the creation of proteins in the cell.  The central dogma states that DNA gets transcribed to a type of RNA, called messenger RNA (mRNA), through a process called transcription.  Then, the central dogma states that the protein gets created from the mRNA through a process called translation (Douglas et al 2018).  \n\nThe image below shows the general process of protein synthesis.  The nucleotide sequence from the genes in DNA determines the sequence of mRNA.  Once the mRNA is created, it undergoes processing before translation occurs. When translation occurs, the mRNA sequence determines the sequence of molecules, called amino acids, that make up the proteins.  The amino acid sequence determines the structure and function of the protein (Douglas et al 2018). ","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://openstax.org/resources/abdd78d09479f6d641ea2add24d0634f8bd27358\" width=\"325\" height=\"375\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Douglas, Matthew, et al. Biology 2e. Rice University, 2018. ","metadata":{}},{"cell_type":"markdown","source":"### How are proteins structured?","metadata":{}},{"cell_type":"markdown","source":"Amino acids are the special molecules that comprise of proteins.  The general structure of a protein is pictured below.  Amino acids have an amino group, carboxyl group, and a side chain or R chain (Douglas et al 2018).","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://openstax.org/resources/2865acded8ea7aa2d3d546fabbb83fa45b26691f\" width=\"325\" height=\"375\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"There are twenty different types of amino acids.  The amino acids have similar structure.  They differ in their side chain or R group.  The differences in R group is what creates the differences in structure and function in proteins.  Below are the different R groups for the amino acids.  It might be overwelming to look at all the structures.  The point is not to memorize the structures but to understand the differences in the structure and how these differences may influence protein structure and function (Douglas et al 2018).","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://openstax.org/resources/e908e753f6bc0aa6125eae3b539fd5451c9acf95\" width=\"550\" height=\"600\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Douglas, Matthew, et al. Biology 2e. Rice University, 2018. ","metadata":{}},{"cell_type":"markdown","source":"The image below shows the four levels of protein structure.  The four levels of protein structure is the primary structure, the secondary structure, the tertiary structure, and the quaternary structure.  Differences in protein structure can be caused by mutations and denaturation (Douglas et al 2018).  \n\nWhen a mutation occurs, there is a change in nucleotide sequence of DNA.  This causes a different amino acid in the growing polypeptide chain during translation.  This causes a change in the protein structure, which then causes a change in the protein function or causes the protein to dysfunction (Douglas et al 2018).\n\nWhen a protein gets exposed to a certain temperature, pH level, or chemical, it may undergo denaturation.  This causes changes in the protein structure without changing the primary structure.  Denaturation may be reversible or irreversible (Douglas et al 2018).","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://openstax.org/resources/be389460373b6ab7b1f229e88ab84a9ea599357e\" width=\"450\" height=\"500\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Douglas, Matthew, et al. Biology 2e. Rice University, 2018. /(credit: modification of work by National Human Genome Research Institute)","metadata":{}},{"cell_type":"markdown","source":"### How are Proteins Detected in the Cell?","metadata":{}},{"cell_type":"markdown","source":"There are different ways to observe proteins in the cell.  In this competition, the methods of observing proteins were immunocytochemistry and confocal microscopy.  These two methods were used together to create the images used in the competition (The Cell Atlas).","metadata":{}},{"cell_type":"markdown","source":"#### Immunocytochemistry","metadata":{}},{"cell_type":"markdown","source":"There are four main steps to immunocytochemistry (ICC-IF) (Learn: Immunocytochemistry). \n1. Seed Cell\n2. Immunostaining\n3. Visualize using Microscopy\n4. Evaluate using Computer Software\n\nThe first step of immunocytochemistry is to seed the cell on a glass plate or glass slide and incubate for the proper incubation time for the cell line.  The incubation may span from 30 minutes to 24 hours (Learn: Immunocytochemistry).\n\nThe second step of immunocytochemistry is immunostaining.  There are several steps to immunostaining (Learn: Immunocytochemistry).\n1. Fixation - This step preserves the structural state of the protein at the time of fixation and their location in the cell.\n2. Permeabilization - This step enables the antibodies to cross the cell membranes by puncturing the cell membranes with chemicals such as detergents and solvents.\n3. Antibody Incubation - During this step, the antibody binds to the desired protein.  It is important to wash unbound antibodies by washing to avoid improper staining.\n","metadata":{}},{"cell_type":"markdown","source":"After antibody incubation, immunofluorescence takes place.  Immunofluorescence visualizes the protein of interest with a fluorescent tag.  Since this method was used with a cell line, it is referred to as immunocytochemistry (sinobiological).\n\nImmunofluorescence detects the desired protein using antibodies.  These antibodies are specific to only the protein of interest (sinobiological).\n\nThere are two types of immunofluorescence: primary immunofluorescence and secondary immunofluorescence.\n\nIn the primary immunofluorescence method, there is a single type of antibody for the protein called the primary antibody.  The primary antibody has the fluorescent molecule, called a fluorophore, attached to the antibody (Direct vs Indirect Immunofluorescence).\n\nIn the secondary immunofluoresence method, there are two types of antibodies used.  The first type of antibody or the primary antibody attaches to the protein and does not have the fluorescent protein, which is called the fluorophore.  The second type of antibody or the secondary antibody attaches to the primary antibody.  The secondary antibody has the fluorophore attached to it (Direct vs Indirect Immunofluorescence).\n\nBelow shows the difference between the primary and secondary immunofluorescence method.  Note that the term epitope means the location where the antibody attaches to the antigen (or protein in this competition).","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://upload.wikimedia.org/wikipedia/commons/4/45/Immunofluorescence.jpg\" width=\"525\" height=\"575\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Wikimedia, Westhayl618, Creative Commons Attribution-Share Alike 4.0 International License","metadata":{}},{"cell_type":"markdown","source":"The third step of immunocytochemistry is using microscopy.  There are different types of microscopy used in immunocytochemistry.  The type of microscopy used in this competition was confocal microscopy (Learn: Immunocytochemistry).\n\nThe forth step of immunocytochemistry is to evaluate with computer software (Learn: Immunocytochemistry).","metadata":{}},{"cell_type":"markdown","source":"#### Confocal Microscopy","metadata":{}},{"cell_type":"markdown","source":"There are different types of microscopy used in immunocytochemistry.  Most types of microscopy used in immunocytochemistry use some form of fluorescent microscopy.  This type of microscopy excites the fluorescent protein to show the location of an antigen, such as a protein, in the cell.  Confocal microscopy has a higher resolution than traditional fluorescence microscopy (Quantum made easy).  The video below is an introductory video about the basics of confocal microscopy.","metadata":{}},{"cell_type":"code","source":"YouTubeVideo('kPvG99uvW2g', width=800, height=450)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"“What Is Confocal Microscopy?” YouTube, YouTube, 3 June 2020, www.youtube.com/watch?v=kPvG99uvW2g. ","metadata":{}},{"cell_type":"markdown","source":"#### How to View Image Data","metadata":{}},{"cell_type":"markdown","source":"When exploring the data files, it is apparent that the images are black and white and that there are multiple image files, as shown below.  However, if the image is viewed in the microscope, the cellular structures appears in bright colors and most cellular images are singular images with multiple cellular organelles.  This is because many microscopes have cameras that only capture black and white images.  There are four different images because the fluorescent proteins become excited at different wavelengths, thus causing different filters to be used.","metadata":{}},{"cell_type":"code","source":"#Visualize images has original .png files\n#Function modification from function from notebook Human Protein Atlas Cell Segmentation + [EDA] by Kuldeep Singh Chouhan\n\ndef read_sample_image_black (filename):\n    \n    red = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_red.png\", cv2.IMREAD_UNCHANGED)\n    green = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_green.png\", cv2.IMREAD_UNCHANGED)\n    blue = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_blue.png\", cv2.IMREAD_UNCHANGED)\n    yellow = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_yellow.png\", cv2.IMREAD_UNCHANGED)\n    \n    plt.figure(figsize=(15, 15))\n    plt.subplot(1, 4, 1)\n    plt.imshow(red, cmap = 'gray')\n    plt.title('Microtubule channels')\n    plt.axis('off')\n    plt.subplot(1, 4, 2)\n    plt.imshow(green, cmap = 'gray')\n    plt.title('Protein of Interest')\n    plt.axis('off')\n    plt.subplot(1, 4, 3)\n    plt.imshow(blue, cmap = 'gray')\n    plt.title('Nucleus')\n    plt.axis('off')\n    plt.subplot(1, 4, 4)\n    plt.imshow(yellow, cmap = 'gray')\n    plt.title('Endoplasmic Reticulum')\n    plt.axis('off')\n    plt.show()","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"read_sample_image_black ('f510ca4c-bbab-11e8-b2ba-ac1f6b6435d0')","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"To be able to view the image with the proper channels, color will need to be added to the images and then an overlay will need to be created of these four images.  This can be done with software but can also be done on python.  The overlay below was created using code from the notebook [Human Protein Atlas Cell Segmentation + [EDA]](https://www.kaggle.com/kool777/human-protein-atlas-cell-segmentation-eda) by Kuldeep Singh Chouhan.","metadata":{}},{"cell_type":"code","source":"# read and visualize sample image\n#Function modification from function from notebook Human Protein Atlas Cell Segmentation + [EDA] by Kuldeep Singh Chouhan\n\ndef read_sample_image(filename):\n    \n    red = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_red.png\", cv2.IMREAD_UNCHANGED)\n    green = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_green.png\", cv2.IMREAD_UNCHANGED)\n    blue = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_blue.png\", cv2.IMREAD_UNCHANGED)\n    yellow = cv2.imread(os.path.join('../input/hpa-single-cell-image-classification/train/') + filename + \"_yellow.png\", cv2.IMREAD_UNCHANGED)\n\n    stacked_images = np.transpose(np.array([red, green, blue, yellow]), (1,2,0))\n    return stacked_images\n\ndef plot_all(im):\n    \n    plt.figure(figsize=(15, 15))\n    plt.subplot(1, 5, 1)\n    plt.imshow(im[:,:,:3])\n    plt.title('RGBY Image')\n    plt.axis('off')\n    plt.subplot(1, 5, 2)\n    plt.imshow(im[:,:,0], cmap='Reds')\n    plt.title('Microtubule channels')\n    plt.axis('off')\n    plt.subplot(1, 5, 3)\n    plt.imshow(im[:,:,1], cmap='Greens')\n    plt.title('Protein of Interest')\n    plt.axis('off')\n    plt.subplot(1, 5, 4)\n    plt.imshow(im[:,:,2], cmap='Blues')\n    plt.title('Nucleus')\n    plt.axis('off')\n    plt.subplot(1, 5, 5)\n    plt.imshow(im[:,:,3], cmap='Oranges')\n    plt.title('Endoplasmic Reticulum')\n    plt.axis('off')\n    plt.show()\n    \ndef plot_rgby (im):\n    \n    plt.figure(figsize=(10,10))\n    plt.imshow(im[:,:,:3])\n    plt.title('Overlay Image')\n    plt.axis('off')\n    plt.show()","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"There are four different filters.  The protein of interest is green, the nucleus is blue, the microtubules are red, and the endoplasmic reticulum is yellow.   The green filter should be used for prediction and the other filters should be used for references.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('f510ca4c-bbab-11e8-b2ba-ac1f6b6435d0')\nplot_all (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Exploratory Data Analysis","metadata":{}},{"cell_type":"markdown","source":"### How Many Tags Do Each Organelle and Image Have?","metadata":{}},{"cell_type":"markdown","source":"The first step in exploratory data analysis is to analyze how many tags each organelle has and how many tags each image has.","metadata":{}},{"cell_type":"code","source":"# Import dataframe\n\ntrain_df = pd.read_csv('../input/hpa-single-cell-image-classification/train.csv')\ntrain_df.head ()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"label_names= {\n0: \"Nucleoplasm\",\n1: \"Nuclear membrane\",\n2: \"Nucleoli\",\n3: \"Nucleoli fibrillar center\",\n4: \"Nuclear speckles\",\n5: \"Nuclear bodies\",\n6: \"Endoplasmic reticulum\",\n7: \"Golgi apparatus\",\n8: \"Intermediate filaments\",\n9: \"Actin filaments\",\n10: \"Microtubules\",\n11: \"Mitotic spindle\",\n12: \"Centrosome\",\n13: \"Plasma membrane\",\n14: \"Mitochondria\",\n15: \"Aggresome\",\n16: \"Cytosol\",\n17: \"Vesicles and punctate cytosolic patterns\",\n18: \"Negative\"\n}\n\ndef fill_targets(row):\n    row.Target = np.array(row.Label.replace(\"|\", \" \").split()).astype(np.int)\n    for num in row.Target:\n        name = label_names[int(num)]\n        row.loc[name] = 1\n    return row","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for key in label_names.keys():\n    train_df[label_names[key]] = 0","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Create dataframe\n\ntrain_df = train_df.apply(fill_targets, axis=1)\n\ntrain_df = train_df.drop(['Label'], axis=1)\n\n#Create the Dataframe for the sum of Organelles\n\norganelle_df = train_df.drop(['ID'], axis = 1)\n\norganelle_df = organelle_df.sum (axis=0)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Create the Dataframe for the sum of Labels\n\nid_df = train_df.sum (axis=1)\n\nlabels = []\nones = []\n\nfor i in id_df:\n    if i == 1:\n        number = \"one\"\n        addition = 1\n        labels.append (number)\n        ones.append (addition)\n    elif i == 2:\n        number = \"two\"\n        addition = 1\n        labels.append (number)\n        ones.append (addition)\n    elif i == 3:\n        number = \"three\"\n        addition = 1\n        labels.append (number)\n        ones.append (addition)\n    elif i == 4:\n        number = \"four\"\n        addition = 1\n        labels.append (number)\n        ones.append (addition)\n    elif i == 5:\n        number = \"five\"\n        addition = 1\n        labels.append (number)\n        ones.append (addition)\n\nid_df = pd.DataFrame({'Label': labels, 'Addition': ones})\nid_df = id_df.groupby(['Label']).sum ()\nid_df = pd.DataFrame({\"Number of Cells\": [10508, 8873, 2233, 190, 2]}, index = [\"One\", \"Two\", \"Three\", \"Four\", \"Five\"])","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Create organelle pie graph\n\norganelle_df.plot (kind = 'pie', \n                   ylabel = '', \n                   figsize = (12,12), \n                   fontsize = 12, \n                   pctdistance = 1)\n\nplt.title ('Number of Labels Per Organelle', fontsize = 16, y = 1)\nplt.show ()","metadata":{"_kg_hide-input":false,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The nucleoplasm and cytosol have the most labels.","metadata":{}},{"cell_type":"code","source":"#Create label pie graph \n\ndata = np.array ([10508, 8873, 2233, 190, 2])\nid_series = pd.Series (data, index = [\"One\", \"Two\", \"Three\", \"Four\", \"Five\"])\n\nid_series.plot (kind = 'pie',\n                   #colors = colors,\n                   ylabel = '', \n                   figsize = (13,13), \n                   fontsize = 9, \n                   pctdistance = 1)\n\nplt.title ('Number of Labels Per Image', fontsize = 16, y = 1)\nplt.show ()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Most of the images either have one or two labels.","metadata":{}},{"cell_type":"markdown","source":"### What are the most common multiple labels?","metadata":{}},{"cell_type":"markdown","source":"The second step in exploratory data analysis is to find the highest amount of tags for multiple categories for each category.  The catgories are two, three, four, and five.","metadata":{}},{"cell_type":"code","source":"#Add the amount of Labels for each sample\n\nmultiple_labels = '../input/hpa-single-cell-image-classification/train.csv'\namount_df = pd.read_csv (multiple_labels)\namount_df = amount_df.drop(['ID'], axis = 1)\n\namount_df\n\ncounted_labels = train_df.sum (axis=1)\n\namount_df['Amount'] = counted_labels\n\n# Remove Label Where there is only One Label\n\namount_df = amount_df[amount_df.Amount != 1]\n\n#Evalute 2 labels only\n\ntwo_df = amount_df[amount_df.Amount == 2]\n\ntwo_append = []\n\nfor i in range (0, len (two_df)):\n    two_append.append (1)\n\nfinaltwo_df = pd.DataFrame() \nfinaltwo_df['Label'] = two_df['Label']\nfinaltwo_df['Amount'] = two_append\n\nfinaltwo_df = finaltwo_df.groupby(['Label']).sum ().reset_index()\nfinaltwo_df = finaltwo_df.sort_values(by = ['Amount'], ascending = False)\nfinaltwo_df = finaltwo_df.head (1)\n\n#Evalute 3 labels only\n\nthree_df = amount_df[amount_df.Amount == 3]\n\nthree_append = []\n\nfor i in range (0, len (three_df)):\n    three_append.append (1)\n\nfinalthree_df = pd.DataFrame() \nfinalthree_df['Label'] = three_df['Label']\nfinalthree_df['Amount'] = three_append\n\nfinalthree_df = finalthree_df.groupby(['Label']).sum ().reset_index()\nfinalthree_df = finalthree_df.sort_values(by = ['Amount'], ascending = False)\nfinalthree_df = finalthree_df.head (1)\n\n#Evalute 4 labels only\n\nfour_df = amount_df[amount_df.Amount == 4]\n\nfour_append = []\n\nfor i in range (0, len (four_df)):\n    four_append.append (1)\n\nfinalfour_df = pd.DataFrame() \nfinalfour_df['Label'] = four_df['Label']\nfinalfour_df['Amount'] = four_append\n\nfinalfour_df = finalfour_df.groupby(['Label']).sum ().reset_index()\nfinalfour_df = finalfour_df.sort_values(by = ['Amount'], ascending = False)\nfinalfour_df = finalfour_df.head (1)\n\n#Evalute 5 labels only\n\nfive_df = amount_df[amount_df.Amount == 5]\n\nfive_append = []\n\nfor i in range (0, len (five_df)):\n    five_append.append (1)\n\nfinalfive_df = pd.DataFrame() \nfinalfive_df['Label'] = five_df['Label']\nfinalfive_df['Amount'] = five_append\n\nfinalfive_df = finalfive_df.groupby(['Label']).sum ().reset_index()\nfinalfive_df = finalfive_df.sort_values(by = ['Amount'], ascending = False)\nfinalfive_df = finalfive_df.head (1)\n\n\n#Combine Dataframe\n\ntotal_df = finaltwo_df.append(finalthree_df, ignore_index=True)\ntotal_df = total_df.append(finalfour_df, ignore_index=True)\ntotal_df = total_df.append(finalfive_df, ignore_index=True)\n\ntotal_df","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"For two labels, the most common label has the cytosol and nucloplasm labeled.  For three labels, the most common label has the cytosol, nucloplasm, and plasma membrane labeled.  For four labels, the cytosol, nucleoli, nucleoplasm, and plasma membrane are labeled.  For five labels, the cytosol, mitochondria, nuclear bodies, nucleoli fibrillar center, and nucleoplasm are labeled.","metadata":{}},{"cell_type":"markdown","source":"### How Do the Organelles Appear Microscopically and What Are Their Functions?","metadata":{}},{"cell_type":"markdown","source":"The second part of exploratory data analysis is to observe what the data looks like for each organelle by observing one image for each organelle.","metadata":{}},{"cell_type":"markdown","source":"#### 1. Nucleoplasm\n\nThe nucleoplasm is a semi-solid fluid that is inside the nucleus (Douglas et al 2018).  The nucleoplasm can be stained with DAPI, which is a special dye that binds to certain nucleotides, which appears as blue in the image.  DAPI does not bind to the nucleoli becuase there are lower amounts of DNA in that area.  The greeen in the protein is the protein of interest.  The protein of interest staining may vary according to the amount of protein in the cell and the spatial arragement of the protein (Nucleoplasm).  As shown below, the protein of interest in the nucleoplasm will show up throughout the area of the nucleus.  The overlay image shows that there is a stong dispersion between the protein of interest in the nucleoplasm and the nucleus.","metadata":{}},{"cell_type":"markdown","source":"**Nucleoplasm Image 1**\n\nIn the overlay image, the protein of interest is strongly observed in the top right cells in the image.  The lack of nucleoli in the nucleus is also observed.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('daa22470-bbca-11e8-b2bc-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Nucleoplasm Image 2**\n\nIn the overlay image, the protein of interest is observed in the cells in the image.  There is more of a punctate staining of the protein of interest in the nucleoplasm of the cell.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('f510ca4c-bbab-11e8-b2ba-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 2. Nuclear Membrane\n\nThe nuclear membrane is a membrane that encloses the nucleus and isolates the nucleus from the cell (Nuclear Membrane).  As shown below, the protein of interest in the nuclear membrane will show up and in the area around the nucleus.  The overlay image shows that the protein of interest in the nuclear membrane shows around the nucleus.  In some of the cells, the protein of interest is viewed around in and inside of the nucleus.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('0881d08c-bb9b-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 3. Nucleoli\n\nThe nucleolus (plural: nucleoli) is a non-membrane bound subcompartment of the nucleus.  It is the area of the nucleus where ribosome synthesis and assembly takes place.  Ribosomes are then transported to the cytoplasm so they can participate in protein translation (Nucleoli; Nucleoli Fibrillar Center).  \n\nThere are four regions of the nucleolus (Nucleoli Fibrillar Center):\n1. Nucleoli Fibrillar Center\n2. Dense Fibrillar Component\n3. Grandular Component\n4. Perinucleolar Region\n\nAs shown below, the protein of interest in the nucleolus will show up in the nucleus.  The overlay image shows that the protein of interest in the nucleoli in the nucleus.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('64ab5506-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 4. Nucleoli Fibrillar Center\n\nThe nucleoli fibrillar center is a region of the nucleoli.  As mentioned above, the nucleolus contains four regions: nucleoli fibrillar center, dense fibrillar component, grandular component, and perinucleolar region.  There are proteins between the border of the fibrillar center and dense fibrillar components that transcribes pre-rRNA from DNA (Nucleoli Fibrillar Center). \n\nThere is a protein in the nucleoli fibrillar center called NOLC1.  When this protein is imaged using immunocytochemistry and fluorescent microscopy, the nucleoli fibrillar center appears.  This protein has the function of maintaining the structure of fibrillar center and the dense fibrillar components.  This protein also interacts with a protein, which is an enzyme, that transcribes pre-rRNA from DNA.  This protein shows how proteins play a role in keeping structural integretary and what they may reveal about the reactions occuring at a certain cellular structure and location (Nucleoli Fibrillar Center).\n\nAs shown below, the protein of interest in the nucleoli fibrillar center will show up in the nucleoli.  The overlay image shows that the protein of interest in the nucleoli fibrillar center in the nucleoli.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('6a70893e-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 5. Nuclear Speckles\n\nNuclear speckles are clusters enriched in pre-mRNA splicing factors, such as spliceosomes.  As described above, pre-mRNA has to undergo processing before translation can occur.  One way pre-mRNA undergoes processing is through removing extra pieces of RNA that do not belong in the final mRNA molecule.  This extra pieces of RNA is called an intron.  The coding part of RNA is called an exon (Douglas et al 2018; Nuclear Speckles).  ","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://upload.wikimedia.org/wikipedia/commons/9/9f/Pre-mRNA_to_mRNA_MH.svg\" width=\"400\" height=\"400\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Wikimedia, Mutundis, Creative Commons Attribution-Share Alike 3.0 Unported License","metadata":{}},{"cell_type":"markdown","source":"The spliceosomes removes the intron in the molecule and reconnect the exons togethers.  Below is an image of a spliceosome after the splicing reaction.  The intron of the mRNA is shown in yellow, proteins are shown in blue and green, and the spliceosome RNA molecules are shown in magneta and pink (PDB101: Molecule of the Month: Spliceosomes).","metadata":{}},{"cell_type":"code","source":"html1 = '<img src=\"https://cdn.rcsb.org/pdb101/motm/images/245-Spliceosomes-3jb9.jpg\" width=\"400\" height=\"400\" align=\"center\"/>'\nHTML(html1)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"The RCSB PDB \"Molecule of the Month\": Inspiring a Molecular View of Biology D.S. Goodsell, S. Dutta, C. Zardecki, M. Voigt, H.M. Berman, S.K. Burley (2015) PLoS Biol 13(5): e1002140. doi: 10.1371/journal.pbio.1002140\n\nAs shown below, the protein of interest in the nuclear speckles will show up in the nucleus.  The overlay image shows that the protein of interest in the nuclear speckles in the nucleus.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('b15261ec-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 6. Nuclear Bodies\n\nThe nuclear bodies are various non-membrane bound sub-compartments in the nuclei.  These different bodies have various names according to their function.  These bodies consist of protein factors and RNA molecules.  The type of reactions that are occuring in nuclear bodies include RNA processing, DNA repair, and stress responses (Nuclear bodies).\n\nAs shown below, the protein of interest in the nuclear bodies will show up in the nucleoplasm.  The overlay image shows that the protein of interest in the nuclear bodies in the nucleoplasm.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('a78db2d8-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 7. Endoplasmic Reticulum\n\nThe endoplasmic reticulum is a tubular membraneous network that spreads through the cytoplasm and is continuous through the nuclear membrane.  There is the rough endoplasmic reticulum and the smooth endoplasmic reticulum.  The rough endoplasmic reticulum contains ribosomes and synthesizes proteins.  The smooth endoplasmic reticulum synthesizes lipids and biomolecules (Endoplasmic Reticulum).\n\nAs shown below, the protein of interest in the endoplasmic reticulum will show up in the cell.  The overlay image shows that the protein of interest in the endoplasmic reticulum in the cell.  Keep in mind that the protein of interest, which is green, may not be the same as protein used to highlight the endoplasmic reticulum, which is yellow.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('5beb608c-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 8. Golgi Apparatus\n\nThe golgi apparatus are flattened membraneous sacs in the cell.  It is involved in tagging transport vesicles that contain lipids and proteins to make sure they end up in the right area of the cell (Douglas et al 2018).\n\nAs shown below, the protein of interest in the golgi apparatus will show up in the cell.  The overlay image shows that the protein of interest in the golgi apparatus in the cell. ","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('96a8e73a-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 9. Intermediate filaments\nIntermediate filaments are one of the three components of the cytoskeleton.  The components and structure of the intermediate filaments differ between cell types. Intermediate filaments may also be concentrated in the perinuclear region. The function of the intermediate filaments include providing mechanical support and shape to cells, intercellular organization, cell adhesion, and cell signaling (Intermediate Filaments).\n\nAs shown below, the protein of interest in the intermediate filaments will show up throughout the cell.  The overlay image shows that the protein of interest in the intermediate filament throughout in the cell. Keep in mind that the intermediate filaments may appear differently accordingly to the cell type.\n","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('a1ee43b0-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 10. Actin Filaments\n\nActin filaments, which are also known as microfilaments, are another part of the cytoskeleton.  These filaments provide and funtion in mechanical support, cell shape, and cell motility.  They also participate in cell division and intracellular organelle and vesicle transport.  Actin filaments also help form focal adhesions that connect cells to the extracellular matrix.  This may cause differences in imaging according to the protein of interest (Actin Filaments; Actin Filaments, Dictionary).\n\nAs shown below, the protein of interest in the actin filaments will show up in different parts of the cell.  The overlay image shows that the protein of interest in the actin filaments throughout in the cell or at the edges of cells. Keep in mind that the actin filaments may appear different parts of the cell.","metadata":{}},{"cell_type":"markdown","source":"**Actin Filaments Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('0726b10e-bb9a-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Actin Filaments Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('bc4a3394-bb9a-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 11. Microtubules\n\nMicrotubules are another part of the cytoskeleton.  They are highly dynamic, which mean that the filaments rapidly grow and shrink.  They provide mechanical support, cell shape, organelle and vesicle support, and cell division (Microtubules).\n\nAs shown below, the protein of interest in the microtubules will show up throughout the cell.  The overlay image shows that the protein of interest in the microtubules in the cell.  Keep in mind that the protein of interest, which is green, may not be the same as protein used to highlight the microtubules, which is yellow.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('7c261068-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 12. Mitotic Spindle\n\nThe mitotic spindle are transient microtubules and assists the movement of chromosomes during cell division (Douglas et al 2018; Mitotic Spindle).\n\nAs shown below, the protein of interest in the mitotic spindle is showing up in the bottom right side of the image.  The overlay image shows that the protein of interest in the mitotic spindle in the cell at the bottom right side of the image.  Keep in mind that this is the only image that has only has the mitotic spindle as the single cellular component.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('b6a469d8-bbad-11e8-b2ba-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 13. Centrosome\n\nThe centrosome is the microtubule organizing center of the cell.  They play a role in the microtubule-dependent processes, such as cell division and intracellular transport.  The location of the centrosome depends on the phase of the cell cycle.  The centrosome is usually viewed near the nuclear membrane (Centrosome).\n\nAs shown below, the protein of interest in the centrosome is showing up near the nuclear membrane.  The overlay image shows that the protein of interest in the centrosome is showing up near the nuclear membrane.  ","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('ca883cf4-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 14. Plasma Membrane\n\nThe plasma membrane encloses the cell and protects the organelles from the extracellular surroundings.  The plasma membrane is mainly made of the lipid bilayers and proteins.  Proteins make up of 50% of total mass of the plasma membrane.  In the Protein Cell Atlas, 2087 genes encode proteins that are in the plasma membrane.  This is 11% of the protein coding human genes.  The majority of these proteins colocalize to other compartments in the cells, such as the plasma membrane and actin filaments.  These proteins function in cell structure, cell signaling, cell adhesion, and transport across the plasma membrane (Plasma Membrane).\n\nAs shown below, the protein of interest in the plasma membrane is showing up in different distributions in the cell.  The overlay images shows that the protein of interest in the plasma membrane have different distributions and different intensities.  This shows that the protein membrane may have different distribution of the protein of interest and different amounts of the protein of interest in the plasma membrane.  The last image shows the protein of interest channel at high intensity and microtubule channel at basically no intensity.  This may be caused by protocol error.  Please keep this in mind during exploratory data analysis and while creating models.","metadata":{}},{"cell_type":"markdown","source":"**Plasma Membrane Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('82eda686-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Plasma Membrane Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('fc85c906-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Plasma Membrane Image 3**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('d76aa7f8-bb9a-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Plasma Membrane Image 4**","metadata":{}},{"cell_type":"code","source":"read_sample_image_black ('7072246e-bb99-11e8-b2b9-ac1f6b6435d0')\nim = read_sample_image ('7072246e-bb99-11e8-b2b9-ac1f6b6435d0')\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 15. Mitochondria\n\nMitochondria mainly provide energy for cellular function.  They also play a role in cell death and control of the cell cycle.  Mitochondria are distributed throughout the cytoplasm.  The shape, size and amount of the mitochondria vary according to different cell types and cellular health (Mitochondria).\n\nAs shown below, the protein of interest in the mitochondria is showing up in different shapes in the cell.  The overlay images shows that the protein of interest in the mitochondria have different distributions and different shapes.  This may be caused by different cell types or cellular health.  Please keep this in mind during exploratory data analysis and while creating models.","metadata":{}},{"cell_type":"markdown","source":"**Mitochondria Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('5903f606-bbb0-11e8-b2ba-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Mitochondria Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('ea9ce456-bbb0-11e8-b2ba-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 16. Aggresome\n\nAggresomes form from the accumulation of misfolded proteins in the cytosol.  In imaging, aggresomes are usually found near the nucleus and may differ between different cell types (Aggresome).\n\nAs shown below, the protein of interest in the aggresome is showing up near the nucleus in the cell in the overlay image.  ","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('f0ac7116-bb99-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 17. Cytosol\n\nThe cytosol is a semi-fluid matrix that fills space in cell outside the nucleus.  It contains water-soluble ions and small moleucles.  It embeds organelles and is the site of cellular processes.  In imaging, the staining is smooth to granular and may be hard to distinguish between the plasma membrane in some cell types (Cytosol).\n\nAs shown below, the protein of interest in the cytosol is showing in the cell in the overlay image.  ","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('ffd45d0c-bbad-11e8-b2ba-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 18. Vesicles and Punctuate Cytosolic Patterns\n\nVesicles and punctuate cytosolic patterns are small cytosolic circular compartments.  There are several oraganelles and other cellular components in this category (Duplicate classes; Douglas et al 2018).\n\n1. Vesicles - Vesicles participate in cellular transport.\n2. Peroxisomes - Peroxisomes break down amino acids and fatty acids, and detoxify poisions.\n3. Endosomes - Endosomes are important in sorting compartments.\n4. Lysosomes - Lysosomes are in animal cells and break down various biomolecules and organelles.\n5. Lipid Droplets - Lipid droplets are important in fat storage.\n6. Cytoplasmic Bodies - Cytoplasmic bodies are distinct cytosolic organelles.\n\nAs shown below, the protein of interest in the organelles and other cellular components is showing in the cell in the overlay image.  ","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('775aa1a6-bb9a-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 19. Negative\n\nThe images labeled negative indicate that the image is noisy or has no signal.  There will never have a negative label and another label (Questions and Speculations).\n\nAs shown below, the negative label shows that the overlay images has no signal or has a noisy signal.  Keep in mind that the noisy signal may appear to be an organelle or another cellular component during exploratory data analysis or building a model.","metadata":{}},{"cell_type":"markdown","source":"**Negative Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('a34d8680-bb99-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Negative Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('2570ad40-bb9f-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### How Do Images with Multiple Labels Appear Microscopically?","metadata":{}},{"cell_type":"markdown","source":"It is also important to observe data with multiple labels.  Below are the most popular multiple labels for each category.","metadata":{}},{"cell_type":"markdown","source":"#### Double Label - Nucleoplasm and Cytosol\n\nThere are noticable differences between images in this category.  There are reasons for these differences.  Staining spatial arrangement and intensity is dependent on the arrangement of the proteins and the amount of proteins expressed.","metadata":{}},{"cell_type":"markdown","source":"**Double Label Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('e5cc7fb0-bb9a-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Double Label Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('1fef8016-bb9b-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Triple Label - Cytosol, Nucleoplasm. and Plasma Membrane\n\nThere are noticable differences between images in this category.  There are reasons for these differences.  Staining spatial arrangement and intensity is dependent on the arrangement of the proteins and the amount of proteins expressed.","metadata":{}},{"cell_type":"markdown","source":"**Triple Label Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('d25d0d04-bb9b-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Triple Label Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('232342b4-bb9f-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Quadruple Label - Cytosol, Nucleoli, Nucleoplasm, and Plasma Membrane\n\nThere are noticable differences between images in this category.  There are reasons for these differences.  Staining spatial arrangement and intensity is dependent on the arrangement of the proteins and the amount of proteins expressed.  Some of the images are blurred and have differences in intensity.  This may be caused by staining differences or protocol error.","metadata":{}},{"cell_type":"markdown","source":"**Quadruple Label Image 1**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('77d512f2-bb99-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Quadruple Label Image 2**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('db1030e8-bb9b-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Quadruple Label Image 3**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('9de9e0d4-bba4-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"**Quadruple Label Image 4**","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('d069d2ba-bba1-11e8-b2b9-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### Quintuple Label - Cytosol, Mitochondria, Nuclear Bodies, Nucleoli fibrillar center, and nucleoplasm\n\n","metadata":{}},{"cell_type":"markdown","source":"There may also be noticable differences between images in this category also.  Keep this in mind while doing data analysis and creating models.","metadata":{}},{"cell_type":"code","source":"im = read_sample_image ('8e998b50-bbb0-11e8-b2ba-ac1f6b6435d0')\n\nplot_all (im)\n\nplot_rgby (im)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"\n## Conclusion\n\nThis is a scientific introduction and exploratory data analysis of the Human Protein Atlas - Single Cell Classification challenge.  There are several things to keep in mind while participating in this challenge.\n\n1. Cellular staining may differ because of differences in protein expression, differences in cellular organization, protocol differences, and differences in the cell line.\n2. Blurring and differences in intensity may be caused by staining differences or protocol error.\n3. Different cell lines may be differenct sizes and have different staining patterns.  \n4. Further study of proteins and fluorescent images can be found in the [The Cell Atlas](http://www.proteinatlas.org/humanproteome/cell).  There are also great resources in the Works Cited section.\n\nI hope this notebook will be a great help to you throughout the competition.  ","metadata":{}},{"cell_type":"markdown","source":"\n## Works Cited","metadata":{}},{"cell_type":"markdown","source":"“Actin Filaments.” The Human Cell in Actin Filaments - The Human Protein Atlas, www.proteinatlas.org/humanproteome/cell/actin+filaments. \n\n\"Actin Filaments\".” Dictionary - Cell: Actin Filaments - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/Actin+filaments.\n\n\"Aggresome\".” Dictionary - Cell: Aggresome - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/Aggresome.\n\n\"Centrosome\". Dictionary - Cell: Centrosome - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/centrosome.\n\n\"Cytosol\". Dictionary - Cell: Cystosol - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/cytosol.\n\n“Direct vs Indirect Immunofluorescence.” Abcam, 23 Mar. 2021, www.abcam.com/secondary-antibodies/direct-vs-indirect-immunofluorescence. \n\nDouglas, Matthew, et al. Biology 2e. Rice University, 2018. \n\n\"Duplicate Classes in 146 Labels.\"  Human Protein Atlas - Single Cell Classification. Kaggle, www.kaggle.com/c/hpa-single-cell-image-classification/discussion/217806. \n\n\"Intermediate Filaments\". Dictionary - Cell: Intermediate Filaments - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/intermediate+filaments. \n\n“Learn: Immunocytochemistry.” The Human Cell - The Human Protein Atlas, Human Protein Atlas, www.proteinatlas.org/learn/method/immunocytochemistry. \n\n\"Microtubules\". Dictionary - Cell: Microtubules - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/microtubules. \n\n“Mitochondria.” The Human Cell in Mitochondria - The Human Protein Atlas, www.proteinatlas.org/humanproteome/cell/mitochondria.\n\n\"Mitotic Spindle\". Dictionary - Cell: Mitotic Spindle - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/mitotic+spindle. \n\nNews: Image of the Week - Endoplasmic Reticulum - The Human Protein Atlas,  \nwww.proteinatlas.org/news/2016-09-02/image-of-the-week-endoplasmic-reticulum.\n\nNews: Image of the Week - Nuclear Speckles, Selphentine - The Human Protein Atlas,  \nwww.proteinatlas.org/news/2016-05-13/image-of-the-week-nuclear-speckles-selphentine.\n\nNews: Image of the Week - Nucleoli Fibrillar Center - The Human Protein Atlas, www.proteinatlas.org/news/2016-07-22/image-of-the-week-nucleoli-fibrillar-center. \n\n“Nuclear bodies.” Dictionary - Cell: Nuclear bodies - The Human Protein Atlas, www.proteinatlas.org/learn/dictionary/cell/Nuclear+bodies. \n\n“Nuclear Membrane.” The Human Cell in Nuclear Membrane - The Human Protein Atlas, www.proteinatlas.org/humanproteome/cell/nuclear+membrane. \n\n“Nucleoli.” The Human Cell in Nucleoli - The Human Protein Atlas, www.proteinatlas.org/humanproteome/cell/nucleoli. \n\n“Nucleoplasm.” Dictionary - Cell: Nucleoplasm - The Human Protein Atlas, \nwww.proteinatlas.org/learn/dictionary/cell/nucleoplasm. \n\n“PDB101: Molecule of the Month: Spliceosomes.” RCSB, pdb101.rcsb.org/motm/245. \n\n“Plasma Membrane.” The Human Cell in Plasma Membrane - The Human Protein Atlas, www.proteinatlas.org/humanproteome/cell/plasma+membrane\n\n“Principle of Immunofluorescence.” Principle of Immunofluorescence | Sino Biological, www.sinobiological.com/category/principle-of-if. \n\nQuantum Made Simple FLUORESCENT AND CONFOCAL Comments, toutestquantique.fr/en/fluorescent-and-confocal/. \n\n\"Questions and Speculations on How To Handle the Negative Class\".  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Burley (2015) PLoS Biol 13(5): e1002140. doi: 10.1371/journal.pbio.1002140\n\n“What Is Confocal Microscopy?” YouTube, YouTube, 3 June 2020, www.youtube.com/watch?v=kPvG99uvW2g. \n\n“What Is the Difference Immunocytochemistry (ICC) and Immunofluorescence (IF)?” What Is the Difference Immunocytochemistry (ICC) and Immunofluorescence (IF)? | Sino Biological, www.sinobiological.com/category/if-icc-faq-difference-between-icc-and-if. ","metadata":{}}]}