{
  "id": 554106,
  "title": "Black spots near z = 35",
  "url": "/competitions/czii-cryo-et-object-identification/discussion/554106",
  "author_name": "",
  "post_date": "2024-12-30T14:08:20.881412900Z",
  "votes": 3,
  "comment_count": 5,
  "views": 0,
  "content": "<p>In many tomographies, there are black spots near z=35 that are not labeled, which are about the same size as particles. What are these? Particles of interest?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Ff31fcb9d5d7b6aa92159c0d4237ebc42%2F2024-12-30%20225619.png?generation=1735567051626596&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Fdbfdfcab436dbddd4c44b5a2334ab064%2F2024-12-30%202259531.png?generation=1735567658366641&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": "3084185",
      "postDate": "12/30/2024 14:08:20",
      "content": "<p>In many tomographies, there are black spots near z=35 that are not labeled, which are about the same size as particles. What are these? Particles of interest?</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Ff31fcb9d5d7b6aa92159c0d4237ebc42%2F2024-12-30%20225619.png?generation=1735567051626596&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Fdbfdfcab436dbddd4c44b5a2334ab064%2F2024-12-30%202259531.png?generation=1735567658366641&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "In many tomographies, there are black spots near z=35 that are not labeled, which are about the same size as particles. What are these? Particles of interest?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Ff31fcb9d5d7b6aa92159c0d4237ebc42%2F2024-12-30%20225619.png?generation=1735567051626596&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Fdbfdfcab436dbddd4c44b5a2334ab064%2F2024-12-30%202259531.png?generation=1735567658366641&alt=media)",
      "votes": null
    },
    {
      "id": "3084199",
      "postDate": "12/30/2024 14:26:33",
      "content": "<p>The actual label is a point. Any other volumetric masks are just approximations based on assuming spherical particles of known radius.</p>",
      "rawMarkdown": "The actual label is a point. Any other volumetric masks are just approximations based on assuming spherical particles of known radius.",
      "votes": null
    },
    {
      "id": "3084456",
      "postDate": "12/30/2024 20:29:42",
      "content": "<p>See the discussion here:</p>\n<blockquote>\n  <p>It might be useful to note that the top and bottom z-edges of the tomogram are typically the most affected by artifacts during the imaging process and contain little meaningful information. If I recall correctly (others can confirm), this is because these regions are directly exposed to the environment. It is typical practice to ignore the 10-20 slices at the top and the bottom.</p>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329\" target=\"_blank\">https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329</a></p>\n<p>Although I guess it depends on what you mean by z = 35.  Is that layer 3 or layer 35?  Although a few of them look a lot like what's in the first layer of TS_6_4 which are probably just artifacts:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Fe6833ab3c18d6cdbf60f8223f8ffa36c%2Fartifacts.png?generation=1735591001038755&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "See the discussion here:\n\n>It might be useful to note that the top and bottom z-edges of the tomogram are typically the most affected by artifacts during the imaging process and contain little meaningful information. If I recall correctly (others can confirm), this is because these regions are directly exposed to the environment. It is typical practice to ignore the 10-20 slices at the top and the bottom.\n\n[https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329](https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329)\n\nAlthough I guess it depends on what you mean by z = 35.  Is that layer 3 or layer 35?  Although a few of them look a lot like what's in the first layer of TS_6_4 which are probably just artifacts:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Fe6833ab3c18d6cdbf60f8223f8ffa36c%2Fartifacts.png?generation=1735591001038755&alt=media)",
      "votes": null
    },
    {
      "id": "3085690",
      "postDate": "01/01/2025 12:58:43",
      "content": "<p>About that. Recently I've started working with synthetic data, and the volumes are 200x630x630. Don't you think since trainig is 184x630x630 maybe those slices have been already discarted?</p>",
      "rawMarkdown": "About that. Recently I've started working with synthetic data, and the volumes are 200x630x630. Don't you think since trainig is 184x630x630 maybe those slices have been already discarted?",
      "votes": null
    },
    {
      "id": "3086177",
      "postDate": "01/02/2025 04:41:49",
      "content": "<p>Maybe, but the comment seems consistent with the image from the discussion in which the first labeled ribosome shows up in layer 7 low res which is roughly layer 28 in high res.  And then the last shows up in layer 35 low res or ~40 layers from the end in high res.  Not sure about the other particles though.</p>",
      "rawMarkdown": "Maybe, but the comment seems consistent with the image from the discussion in which the first labeled ribosome shows up in layer 7 low res which is roughly layer 28 in high res.  And then the last shows up in layer 35 low res or ~40 layers from the end in high res.  Not sure about the other particles though.",
      "votes": null
    },
    {
      "id": "3086932",
      "postDate": "01/02/2025 21:26:52",
      "content": "<p><a href=\"https://www.kaggle.com/sacuscreed\" target=\"_blank\">@sacuscreed</a> If you set the first 10 and last 10 layers of your prediction mask to zero it hurts your score so maybe you are correct.</p>",
      "rawMarkdown": "sacuscreed If you set the first 10 and last 10 layers of your prediction mask to zero it hurts your score so maybe you are correct.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3084199,
      "author_name": "sacuscreed",
      "author_url": "",
      "post_date": "12/30/2024 14:26:33",
      "content": "<p>The actual label is a point. Any other volumetric masks are just approximations based on assuming spherical particles of known radius.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3084456,
      "author_name": "davidlist",
      "author_url": "",
      "post_date": "12/30/2024 20:29:42",
      "content": "<p>See the discussion here:</p>\n<blockquote>\n  <p>It might be useful to note that the top and bottom z-edges of the tomogram are typically the most affected by artifacts during the imaging process and contain little meaningful information. If I recall correctly (others can confirm), this is because these regions are directly exposed to the environment. It is typical practice to ignore the 10-20 slices at the top and the bottom.</p>\n</blockquote>\n<p><a href=\"https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329\" target=\"_blank\">https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329</a></p>\n<p>Although I guess it depends on what you mean by z = 35.  Is that layer 3 or layer 35?  Although a few of them look a lot like what's in the first layer of TS_6_4 which are probably just artifacts:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Fe6833ab3c18d6cdbf60f8223f8ffa36c%2Fartifacts.png?generation=1735591001038755&amp;alt=media\" alt=\"\"></p>",
      "votes": null,
      "replies": [
        {
          "id": 3085690,
          "author_name": "sacuscreed",
          "author_url": "",
          "post_date": "01/01/2025 12:58:43",
          "content": "<p>About that. Recently I've started working with synthetic data, and the volumes are 200x630x630. Don't you think since trainig is 184x630x630 maybe those slices have been already discarted?</p>",
          "votes": null,
          "replies": [
            {
              "id": 3086177,
              "author_name": "davidlist",
              "author_url": "",
              "post_date": "01/02/2025 04:41:49",
              "content": "<p>Maybe, but the comment seems consistent with the image from the discussion in which the first labeled ribosome shows up in layer 7 low res which is roughly layer 28 in high res.  And then the last shows up in layer 35 low res or ~40 layers from the end in high res.  Not sure about the other particles though.</p>",
              "votes": null,
              "replies": []
            },
            {
              "id": 3086932,
              "author_name": "davidlist",
              "author_url": "",
              "post_date": "01/02/2025 21:26:52",
              "content": "<p><a href=\"https://www.kaggle.com/sacuscreed\" target=\"_blank\">@sacuscreed</a> If you set the first 10 and last 10 layers of your prediction mask to zero it hurts your score so maybe you are correct.</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3084185": "In many tomographies, there are black spots near z=35 that are not labeled, which are about the same size as particles. What are these? Particles of interest?\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Ff31fcb9d5d7b6aa92159c0d4237ebc42%2F2024-12-30%20225619.png?generation=1735567051626596&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4472591%2Fdbfdfcab436dbddd4c44b5a2334ab064%2F2024-12-30%202259531.png?generation=1735567658366641&alt=media)",
    "3084199": "The actual label is a point. Any other volumetric masks are just approximations based on assuming spherical particles of known radius.",
    "3084456": "See the discussion here:\n\n>It might be useful to note that the top and bottom z-edges of the tomogram are typically the most affected by artifacts during the imaging process and contain little meaningful information. If I recall correctly (others can confirm), this is because these regions are directly exposed to the environment. It is typical practice to ignore the 10-20 slices at the top and the bottom.\n\n[https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329](https://www.kaggle.com/competitions/czii-cryo-et-object-identification/discussion/546329)\n\nAlthough I guess it depends on what you mean by z = 35.  Is that layer 3 or layer 35?  Although a few of them look a lot like what's in the first layer of TS_6_4 which are probably just artifacts:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Fe6833ab3c18d6cdbf60f8223f8ffa36c%2Fartifacts.png?generation=1735591001038755&alt=media)",
    "3085690": "About that. Recently I've started working with synthetic data, and the volumes are 200x630x630. Don't you think since trainig is 184x630x630 maybe those slices have been already discarted?",
    "3086177": "Maybe, but the comment seems consistent with the image from the discussion in which the first labeled ribosome shows up in layer 7 low res which is roughly layer 28 in high res.  And then the last shows up in layer 35 low res or ~40 layers from the end in high res.  Not sure about the other particles though.",
    "3086932": "sacuscreed If you set the first 10 and last 10 layers of your prediction mask to zero it hurts your score so maybe you are correct."
  },
  "source": "meta"
}