Dataset Open Access
De, Trina;
Urbanski, Adrian;
Thangamani, Subasini;
Wyrzykowska, Maria;
Yakimovich, Artur
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<identifier identifierType="DOI">10.14278/rodare.3001</identifier>
<creators>
<creator>
<creatorName>De, Trina</creatorName>
<givenName>Trina</givenName>
<familyName>De</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1111-9851</nameIdentifier>
<affiliation>Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
</creator>
<creator>
<creatorName>Urbanski, Adrian</creatorName>
<givenName>Adrian</givenName>
<familyName>Urbanski</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0009-0008-6619-3665</nameIdentifier>
<affiliation>Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
</creator>
<creator>
<creatorName>Thangamani, Subasini</creatorName>
<givenName>Subasini</givenName>
<familyName>Thangamani</familyName>
<affiliation>Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
</creator>
<creator>
<creatorName>Wyrzykowska, Maria</creatorName>
<givenName>Maria</givenName>
<familyName>Wyrzykowska</familyName>
<affiliation>Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
</creator>
<creator>
<creatorName>Yakimovich, Artur</creatorName>
<givenName>Artur</givenName>
<familyName>Yakimovich</familyName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2458-4904</nameIdentifier>
<affiliation>Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf</affiliation>
</creator>
</creators>
<titles>
<title>HeLaCytoNuc: fluorescence microscopy dataset with segmentation masks for cell nuclei and cytoplasm</title>
</titles>
<publisher>Rodare</publisher>
<publicationYear>2024</publicationYear>
<subjects>
<subject>Fluorescence microscopy</subject>
<subject>high content microscopy</subject>
<subject>cytoskeleton</subject>
<subject>cell nuclei</subject>
</subjects>
<dates>
<date dateType="Issued">2024-06-05</date>
</dates>
<language>en</language>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3001</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-39181</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.3000</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/health</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
</relatedIdentifiers>
<version>Version 1</version>
<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p><strong>Data Description:</strong></p>
<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>
<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>
<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>
<p><br>
<strong>File&nbsp;Description:</strong></p>
<p>The file structure of the zip files is as follows:</p>
<p>HeLaCytoNuc_{train/validation/test}.zip -&gt;</p>
<p>- images -&gt; {filename}.tif</p>
<p>- nuclei_masks&nbsp; -&gt; {filename}.tif</p>
<p>- cytoplasm_masks&nbsp; -&gt; {filename}.tif</p>
<p>HeLaCytoNuc_raw_images.zip -&gt; {filename}.tif</p>
<p>HeLaCytoNuc_test_cellprofiler_masks.zip -&gt;</p>
<p>- nuclei_masks&nbsp; -&gt; {filename}.tif</p>
<p>- cytoplasm_masks&nbsp; -&gt; {filename}.tif&nbsp;</p>
<p><strong>References:</strong></p>
<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>
<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></description>
</descriptions>
</resource>
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