Dataset Open Access
De, Trina; Urbanski, Adrian; Thangamani, Subasini; Wyrzykowska, Maria; Yakimovich, Artur
{ "links": { "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.3001.svg", "doi": "https://doi.org/10.14278/rodare.3001", "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.3000.svg", "conceptdoi": "https://doi.org/10.14278/rodare.3000", "bucket": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0", "html": "https://rodare.hzdr.de/record/3001", "latest": "https://rodare.hzdr.de/api/records/3001", "latest_html": "https://rodare.hzdr.de/record/3001" }, "created": "2024-06-05T20:10:47.793695+00:00", "files": [ { "key": "HeLaCytoNuc_raw_images.zip", "bucket": "fae71336-c6d2-45b2-ae65-416c8f57b5a0", "type": "zip", "links": { "self": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_raw_images.zip" }, "checksum": "md5:8d00f9b3bbcd8653d12439dc797ba497", "size": 8595625573 }, { "key": "HeLaCytoNuc_test_cellprofiler_masks.zip", "bucket": "fae71336-c6d2-45b2-ae65-416c8f57b5a0", "type": "zip", "links": { "self": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_test_cellprofiler_masks.zip" }, "checksum": "md5:7324a5d360fef7dacd6d625384aadc4a", "size": 3666113 }, { "key": "HeLaCytoNuc_test.zip", "bucket": "fae71336-c6d2-45b2-ae65-416c8f57b5a0", "type": "zip", "links": { "self": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_test.zip" }, "checksum": "md5:de45497da77317486f6ed51224a8e3d5", "size": 76153291 }, { "key": "HeLaCytoNuc_train.zip", "bucket": "fae71336-c6d2-45b2-ae65-416c8f57b5a0", "type": "zip", "links": { "self": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_train.zip" }, "checksum": "md5:ca89238d7be977939ca0a67b94306891", "size": 434887789 }, { "key": "HeLaCytoNuc_validation.zip", "bucket": "fae71336-c6d2-45b2-ae65-416c8f57b5a0", "type": "zip", "links": { "self": "https://rodare.hzdr.de/api/files/fae71336-c6d2-45b2-ae65-416c8f57b5a0/HeLaCytoNuc_validation.zip" }, "checksum": "md5:bb684299f81dfb2e12f47ae8e5bbfbcd", "size": 139881304 } ], "metadata": { "pub_id": "39181", "language": "eng", "communities": [ { "id": "health" }, { "id": "rodare" } ], "access_right": "open", "doi": "10.14278/rodare.3001", "keywords": [ "Fluorescence microscopy", "high content microscopy", "cytoskeleton", "cell nuclei" ], "creators": [ { "orcid": "0000-0003-1111-9851", "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf", "name": "De, Trina" }, { "orcid": "0009-0008-6619-3665", "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf", "name": "Urbanski, Adrian" }, { "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf", "name": "Thangamani, Subasini" }, { "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf", "name": "Wyrzykowska, Maria" }, { "orcid": "0000-0003-2458-4904", "affiliation": "Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf", "name": "Yakimovich, Artur" } ], "publication_date": "2024-06-05", "doc_id": "1", "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',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 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 -></p>\n\n<p>- images -> {filename}.tif</p>\n\n<p>- nuclei_masks -> {filename}.tif</p>\n\n<p>- cytoplasm_masks -> {filename}.tif</p>\n\n\n\n<p>HeLaCytoNuc_raw_images.zip -> {filename}.tif</p>\n\n\n\n<p>HeLaCytoNuc_test_cellprofiler_masks.zip -></p>\n\n<p>- nuclei_masks -> {filename}.tif</p>\n\n<p>- cytoplasm_masks -> {filename}.tif </p>\n\n\n\n<p><strong>References:</strong></p>\n\n<p>1. Rämö, Pauli, Anna Drewek, Cécile Arrieumerlou, Niko Beerenwinkel, Houchaima Ben-Tekaya, Bettina Cardel, Alain Casanova et al. "Simultaneous analysis of large-scale RNAi screens for pathogen entry." <em>BMC genomics</em> 15 (2014): 1-18.</p>\n\n<p>2. Carpenter, Anne E., Thouis R. Jones, Michael R. Lamprecht, Colin Clarke, In Han Kang, Ola Friman, David A. Guertin et al. "CellProfiler: image analysis software for identifying and quantifying cell phenotypes." <em>Genome biology</em> 7 (2006): 1-11.</p>", "license": { "id": "CC-BY-4.0" }, "related_identifiers": [ { "scheme": "url", "relation": "isIdenticalTo", "identifier": "https://www.hzdr.de/publications/Publ-39181" }, { "scheme": "doi", "relation": "isVersionOf", "identifier": "10.14278/rodare.3000" } ], "title": "HeLaCytoNuc: fluorescence microscopy dataset with segmentation masks for cell nuclei and cytoplasm", "version": "Version 1", "relations": { "version": [ { "count": 1, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "3001" }, "parent": { "pid_type": "recid", "pid_value": "3000" }, "index": 0 } ] }, "access_right_category": "success", "resource_type": { "type": "dataset", "title": "Dataset" } }, "owners": [ 506 ], "updated": "2024-06-06T08:03:15.641958+00:00", "revision": 5, "doi": "10.14278/rodare.3001", "id": 3001, "conceptdoi": "10.14278/rodare.3000", "conceptrecid": "3000", "stats": { "volume": 122435401595.0, "unique_downloads": 50.0, "version_unique_downloads": 50.0, "unique_views": 187.0, "downloads": 76.0, "version_unique_views": 187.0, "version_views": 217.0, "version_downloads": 76.0, "version_volume": 122435401595.0, "views": 217.0 } }
All versions | This version | |
---|---|---|
Views | 217 | 217 |
Downloads | 76 | 76 |
Data volume | 122.4 GB | 122.4 GB |
Unique views | 187 | 187 |
Unique downloads | 50 | 50 |