{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Single Cell Patterns - Train Set Analysis\n\nThe objective of this notebook is to compare the theory (single cell patterns as described in the original host notebook) with reality (examples coming from the train set). I hope this insights will help with the modelling!\n\nThe train set examples were generated by segmenting train images with HPA Cell Segmentator and saving the RGB channels to jpg images. These may contain a lot of noise as individuall cells may not necessarily reflect the image-level labels.\n\n### Nice people that enjoy this notebook also press the upvote button :)"},{"metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"trusted":true},"cell_type":"code","source":"!pip install ipyplot -q\nfrom fastai.vision.all import *\npath = Path('../input/hpa-cell-tiles-sample-balanced-dataset')\ndf = pd.read_csv(path/'cell_df.csv')\nimport ipyplot","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 0. Nucleoplasm\n\nThe nucleus is found in the center of cell and can be identified with the help of the signal in the blue nucleus channel. A staining of the nucleoplasm may include the whole nucleus or of the nucleus without the regions known as nucleoli (Class 2). \n\n<div style=\"background-color:coral\">\n    <div style=\"text-align:center;background-color:white\">\n        <div style=\"display:inline-block;margin-left: auto;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/63647/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <div style=\"display:inline-block;margin-left:10px;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/52059/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <center>\n        <a href=\"https://www.proteinatlas.org/ENSG00000270647-TAF15/cell/U-2+OS#img\">More examples</a> \n        </center>\n    </div>\n</div>\n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '0'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 1. Nuclear membrane\n\nThe nuclear membrane appears as a thin circle around the nucleus. It is not perfectly smooth and sometimes it is also possible to see the folds of the membrane as small circles or dots inside the nucleus.\n                                                                           \n<div style=\"background-color:coral\">\n    <div style=\"text-align:center;background-color:white\">\n        <div style=\"display:inline-block;margin-left: auto;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/50524/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <div style=\"display:inline-block;margin-left:10px;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/5269/950_C1_1_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <center>\n        <a href=\"https://www.proteinatlas.org/ENSG00000113368-LMNB1/cell/MCF7#img\">More examples</a> \n        </center>\n    </div>\n</div>\n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '1'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 2. Nucleoli\n\nNucleoli can be seen as slightly elongated circular areas in the nucleoplasm, which usually display a much weaker staining in the blue DAPI channel. The number and size of nucleoli varies between cell types.\n                                                                   \n<div style=\"background-color:coral\">\n    <div style=\"text-align:center;background-color:white\">\n        <div style=\"display:inline-block;margin-left: auto;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/35736/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <div style=\"display:inline-block;margin-left:10px;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/35735/1888_E10_3_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <center>\n        <a href=\"https://www.proteinatlas.org/ENSG00000155438-NIFK/cell/A-431#img\">More examples</a> \n        </center>\n    </div>\n</div>"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '2'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 3. Nucleoli fibrillar center\n\nNucleoli fibrillary center can appear as a spotty cluster or as a single bigger spot in the nucleolus, depending on the cell type.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/37366/453_F3_1_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000166197-NOLC1/cell/HEK+293#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '3'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 4. Nuclear speckles\n\nNuclear speckles can be seen as irregular and mottled spots inside the nucleoplasm.\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/66181/1277_H9_2_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000167978-SRRM2/cell/A-431#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '4'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 5. Nuclear bodies\n\nNuclear bodies are visible as distinct spots in the nucleoplasm. They vary in shape, size and numbers depending on the type of bodies as well as cell type, but are usually more rounded compared to nuclear speckles.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/58036/if_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000102901-CENPT/cell/HEK+293#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '5'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 6. Endoplasmic reticulum\n\nThe endoplasmic reticulum (ER) is recognized by a network-like staining in the cytosol, which is usually stronger close to the nucleus and weaker close to the edges of the cell. The ER can be identified with the help of the staining in the yellow ER channel. \n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/47752/769_B10_1_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000012660-ELOVL5/cell/A-431#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '6'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 7. Golgi apparatus\n\nThe Golgi apparatus is a rather large organelle that is located next to the nucleus, close to the centrosome, from which the microtubules in the red channel originate. It has a folded ribbon-like appearance, but the shape and size can vary between cell types, and in response to cellular various processes.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/56283/if_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000114745-GORASP1/cell/HeLa#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '7'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 8. Intermediate filaments\n\nIntermediate filaments often exhibit a slightly tangled structure with strands crossing every so often. They can appear similar to microtubules, but do not match well with the staining in the red microtubule channel. Intermediate filaments may extend through the whole cytosol, or be concentrated in an area close to the nucleus.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/30877/if_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000171401-KRT13/cell/A-431#img\">More examples</a> \n</p> "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '8'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 9. Actin filaments \n\nActin filaments can be seen as long and rather straight bundles of filaments or as branched networks of thinner filaments. They are usually located close to the edges of the cells.\n\n\n<div style=\"background-color:coral\">\n    <div style=\"text-align:center;background-color:white\">\n        <div style=\"display:inline-block;margin-left: auto;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/9849/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <div style=\"display:inline-block;margin-left:10px;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/51237/if_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <center>\n        <a href=\"https://www.proteinatlas.org/ENSG00000117519-CNN3/cell/U-2+OS#img\">More examples</a> \n        </center>\n    </div>\n</div>\n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '9'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 10. Microtubules\n\nMicrotubules are seen as thin strands that stretch throughout the whole cell. It is almost always possible to detect the center from which they all originate (the centrosome). And yes, as you might have guessed, this overlaps the staining in the red channel.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/39323/if_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000166153-DEPDC4/cell/U-2+OS#img\">More examples</a> \n</p>  "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '10'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 11. Mitotic spindle\n\nThe mitotic spindle can be seen as an intricate structure of microtubules radiating from each of the centrosomes at opposite ends of a dividing cell (mitosis). At this stage, the chromatin of the cell is condensed, as visible by intense DAPI staining. The size and exact shape of the mitotic spindle changes during mitotic progression, clearly reflecting the different stages of mitosis.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/5487/1825_A5_31_cr5ac33e6e0739c_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000088325-TPX2/cell/HEL#img\">More examples</a> \n</p>  "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '11'\nprint(f'Train set examples for category {cat}')\ndf['11'] = df.image_labels.apply(lambda r: '11' in r.split('|'))\ndfs = df[df['11'] == True].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 12. Centrosome\n\nThis class includes centrosomes and centriolar satellites. They can be seen as a more or less distinct staining of a small area at the origin of the microtubules, close to the nucleus. When a cell is dividing, the two centrosomes move to opposite ends of the cell and form the poles of the mitotic spindle. \n\n<div style=\"background-color:coral\">\n    <div style=\"text-align:center;background-color:white\">\n        <div style=\"display:inline-block;margin-left: auto;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/44233/516_D8_1_selected_medium.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <div style=\"display:inline-block;margin-left:10px;margin-right: auto\">\n            <img src=\"https://images.proteinatlas.org/40778/1767_F9_33_selected.jpg\" width=\"200\" height=\"200\"/>\n        </div>\n        <center>\n        <a href=\"https://www.proteinatlas.org/ENSG00000125863-MKKS/cell/A-431#img\">More examples</a> \n        </center>\n    </div>\n</div>"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '12'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 13. Plasma membrane\nThis class includes plasma membrane and cell junctions. Both are at the outer edge of the cell. Plasma membrane sometimes appears as a more or less distinct edge around the cell, occasionally with characteristic protrusions or ruffles. In some cell lines, the staining can be uniform across the entire cell. Cell junctions can be observed at contact sites between neighboring cells.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/21616/if_selected_medium.jpg\">\n  <a href=\"https://www.proteinatlas.org/ENSG00000092820-EZR/cell/A-431#img\">More examples</a> \n<p align=\"center\">\n</p>    \n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '13'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 14. Mitochondria\nMitochondria are small rod-like units in the cytosol, which are often distributed in a thread-like pattern along microtubules.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/36985/if_selected_medium.jpg\">\n  <br><br>\n  <a href=\"https://www.proteinatlas.org/ENSG00000132463-GRSF1/cell/U-2+OS#img\">More examples</a> \n<p align=\"center\">\n</p>    "},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '14'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 15. Aggresome\n\nAn aggresome can be seen as a dense cytoplasmic inclusion, which is usually found close to the nucleus, in a region where the microtubule network is disrupted.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/65730/if_selected_medium.jpg\">\n  <br><br>\n  <a href=\"https://www.proteinatlas.org/ENSG00000174010-KLHL15/cell/HEK+293#img\">More examples</a> \n<p align=\"center\">\n</p>    \n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '15'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 16. Cytosol\n\nThe cytosol extends from the plasma membrane to the nuclear membrane. It can appear smooth or granular, and the staining is often stronger close to the nucleus.\n\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/54177/if_selected_medium.jpg\">\n  <br><br>\n  <a href=\"https://www.proteinatlas.org/ENSG00000136371-MTHFS/cell/MCF7#img\">More examples</a> \n<p align=\"center\">\n</p>    \n"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '16'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 17. Vesicles and punctate cytosolic patterns\n\nThis class includes small circular compartments in the cytosol: Vesicles, Peroxisomes (lipid metabolism), Endosomes (sorting compartments), Lysosomes (degradation of molecules or eating up dead molecules), Lipid droplets (fat storage), Cytoplasmic bodies (distinct granules in the cytosol). They are highly dynamic, varying in numbers and size in response to environmental and cellular cues. They can be round or more elongated.\n<p align=\"center\">\n  <img src=\"https://images.proteinatlas.org/6964/22_B1_1_selected_medium.jpg\">\n  <br><br>\n  <a href=\"https://www.proteinatlas.org/ENSG00000122705-CLTA/cell/U-251+MG\">Vesicles</a> |\n  <a href=\"https://www.proteinatlas.org/ENSG00000115425-PECR/cell/A-431\">Peroxisomes</a> |\n  <a href=\"https://www.proteinatlas.org/ENSG00000185722-ANKFY1/cell/A549\">Endosomes</a> |\n  <a href=\"https://www.proteinatlas.org/ENSG00000075785-RAB7A/cell/U-2+OS\">Lysosomes</a> |\n  <a href=\"https://www.proteinatlas.org/ENSG00000177666-PNPLA2/cell/A549\">Lipid droplets</a> |\n  <a href=\"https://www.proteinatlas.org/ENSG00000038358-EDC4/cell/U-2+OS#img\">Cytoplasmic bodies</a> \n</p>"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '17'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 18. Negative\n\nThis class include negative stainings and unspecific patterns. This means that the cells have no green staining (negative), or have staining but no pattern can be deciphered from the staining (unspecific). 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"}}},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"cat = '18'\nprint(f'Train set examples for category {cat}')\ndfs = df[df.image_labels == cat].sample(n=10, random_state=42)\nimages = []\nids = []\nfor i,r in dfs.iterrows():\n    fname = r['image_id'] + '_' + str(r['cell_id']) +'.jpg'\n    images.append(path/'cells'/fname)\n    ids.append(r['image_id'])\nimages = [PILImage.create(f) for f in images]\nipyplot.plot_images(images, labels=ids, max_images=9, img_width=300)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Please upvote if you found this helpful, you will make my day :-)"},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}