June 5, 2024 Dataset Open Access

De, Trina; Urbanski, Adrian; Thangamani, Subasini; Wyrzykowska, Maria; Yakimovich, Artur

JSON-LD (schema.org) Export

{
  "description": "<p><strong>Data Description:</strong></p>\n\n<p>This dataset comprises fluorescence micrographs of HeLa cells, specifically labelled to identify nuclei and cell cytoplasm. These images were acquired as a technical calibration for a high-content screening study detailed and published in [1].</p>\n\n<p>The HeLa cell line (ATCC-CCL-2), a widely used immortalised cell line in laboratory research, was cultured under standard conditions. Post-cultivation, the cells were fixed and stained with fluorescent dyes to visualise the nuclei and cytoplasm. The nuclei were stained with DAPI (4&#39;,6-diamidino-2-phenylindole), a blue-fluorescent DNA stain, while fluorescent-labeled phalloidin was used to detect actin filaments and delineate the cytoplasm. The entire process of cell culture, fixation, staining, and imaging adhered strictly to the protocols described in [1].</p>\n\n<p>The preprocessed dataset includes 2,676 8-bit RGB images, each with a pixel resolution of 520 x 696 pixels. In these images, only two of the RGB channels are utilized: the red channel represents the cytoplasm, and the blue channel represents the nuclei. The dataset is divided into training, validation, and test subsets in a 70:20:10 ratio. The entire dataset is accompanied by instance segmentation masks for nuclei and cytoplasm objects obtained through a specialised CellProfiler [2] software. Notably, the test subset was annotated manually by a specialist, ensuring high-quality annotations. The original raw images are of a higher resolution, 1040 x 1392 pixels, and have a bit depth of 16 bits, providing more detailed information for advanced analyses.</p>\n\n<p><br>\n<strong>File&nbsp;Description:</strong></p>\n\n<p>The file structure of the zip files is as follows:</p>\n\n\n\n<p>HeLaCytoNuc_{train/validation/test}.zip -&gt;</p>\n\n<p>- images -&gt; {filename}.tif</p>\n\n<p>- nuclei_masks&nbsp; -&gt; {filename}.tif</p>\n\n<p>- cytoplasm_masks&nbsp; -&gt; {filename}.tif</p>\n\n\n\n<p>HeLaCytoNuc_raw_images.zip -&gt; {filename}.tif</p>\n\n\n\n<p>HeLaCytoNuc_test_cellprofiler_masks.zip -&gt;</p>\n\n<p>- nuclei_masks&nbsp; -&gt; {filename}.tif</p>\n\n<p>- cytoplasm_masks&nbsp; -&gt; {filename}.tif&nbsp;</p>\n\n\n\n<p><strong>References:</strong></p>\n\n<p>1.&nbsp;R&auml;m&ouml;, Pauli, Anna Drewek, C&eacute;cile Arrieumerlou, Niko Beerenwinkel, Houchaima Ben-Tekaya, Bettina Cardel, Alain Casanova et al. &quot;Simultaneous analysis of large-scale RNAi screens for pathogen entry.&quot;&nbsp;<em>BMC genomics</em>&nbsp;15 (2014): 1-18.</p>\n\n<p>2.&nbsp;Carpenter, Anne E., Thouis R. Jones, Michael R. Lamprecht, Colin Clarke, In Han Kang, Ola Friman, David A. Guertin et al. &quot;CellProfiler: image analysis software for identifying and quantifying cell phenotypes.&quot;&nbsp;<em>Genome biology</em>&nbsp;7 (2006): 1-11.</p>", 
  "inLanguage": {
    "name": "English", 
    "alternateName": "eng", 
    "@type": "Language"
  }, 
  "url": "https://rodare.hzdr.de/record/3001", 
  "@type": "Dataset", 
  "creator": [
    {
      "name": "De, Trina", 
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0003-1111-9851", 
      "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf"
    }, 
    {
      "name": "Urbanski, Adrian", 
      "@type": "Person", 
      "@id": "https://orcid.org/0009-0008-6619-3665", 
      "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf"
    }, 
    {
      "name": "Thangamani, Subasini", 
      "@type": "Person", 
      "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf"
    }, 
    {
      "name": "Wyrzykowska, Maria", 
      "@type": "Person", 
      "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf"
    }, 
    {
      "name": "Yakimovich, Artur", 
      "@type": "Person", 
      "@id": "https://orcid.org/0000-0003-2458-4904", 
      "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf"
    }
  ], 
  "keywords": [
    "Fluorescence microscopy", 
    "high content microscopy", 
    "cytoskeleton", 
    "cell nuclei"
  ], 
  "@id": "https://doi.org/10.14278/rodare.3001", 
  "@context": "https://schema.org/", 
  "datePublished": "2024-06-05", 
  "name": "HeLaCytoNuc: fluorescence microscopy dataset with segmentation masks for cell nuclei and cytoplasm", 
  "distribution": [
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_raw_images.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_test_cellprofiler_masks.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_test.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_train.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_validation.zip", 
      "fileFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-39181"
  ], 
  "version": "Version 1", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "identifier": "https://doi.org/10.14278/rodare.3001"
}