An in vivo microscopy dataset for the characterization of leukocyte death
Abstract Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of a...
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Nature Portfolio
2025-04-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04632-6 |
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| author | Alain Pulfer Diego Ulisse Pizzagalli Miguel Palomino Segura Nina Germic Tommaso Virgilio Mauro Di Pilato Pau Carrillo Barbera Elisa Palladino Paola Antonello Marcus Thelen Hans-Uwe Simon Rolf Krause Santiago F. Gonzalez |
| author_facet | Alain Pulfer Diego Ulisse Pizzagalli Miguel Palomino Segura Nina Germic Tommaso Virgilio Mauro Di Pilato Pau Carrillo Barbera Elisa Palladino Paola Antonello Marcus Thelen Hans-Uwe Simon Rolf Krause Santiago F. Gonzalez |
| author_sort | Alain Pulfer |
| collection | DOAJ |
| description | Abstract Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset provides time-lapse imaging data, along with coordinates in space and time of cell death events displaying apoptotic–like morphodynamics, and 3D reconstruction of the cell morphology at each time point. Altogether, these data will be pivotal for developing computer vision and bioimage analysis methods to advance cell death research. |
| format | Article |
| id | doaj-art-9e581ce2f749470a91b6ba083cfee3c4 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-9e581ce2f749470a91b6ba083cfee3c42025-08-20T02:11:51ZengNature PortfolioScientific Data2052-44632025-04-0112111210.1038/s41597-025-04632-6An in vivo microscopy dataset for the characterization of leukocyte deathAlain Pulfer0Diego Ulisse Pizzagalli1Miguel Palomino Segura2Nina Germic3Tommaso Virgilio4Mauro Di Pilato5Pau Carrillo Barbera6Elisa Palladino7Paola Antonello8Marcus Thelen9Hans-Uwe Simon10Rolf Krause11Santiago F. Gonzalez12Institute for Research in Biomedicine, Faculty of Biomedical Sciences, USIInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USIDepartment of Physiology, Faculty of Sciences. Universidad de ExtremaduraInstitute for Pharmacology, University of BernInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USIDepartment of Immunology, University of Texas MD Anderson Cancer CenterInstituto de Biotecnología y Biomedicina (BioTecMed), Universitat de ValènciaInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USIDepartment of Immunology, Weizman Institute of ScienceInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USIInstitute for Pharmacology, University of BernEuler Institute, Faculty of Informatics, USIInstitute for Research in Biomedicine, Faculty of Biomedical Sciences, USIAbstract Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset provides time-lapse imaging data, along with coordinates in space and time of cell death events displaying apoptotic–like morphodynamics, and 3D reconstruction of the cell morphology at each time point. Altogether, these data will be pivotal for developing computer vision and bioimage analysis methods to advance cell death research.https://doi.org/10.1038/s41597-025-04632-6 |
| spellingShingle | Alain Pulfer Diego Ulisse Pizzagalli Miguel Palomino Segura Nina Germic Tommaso Virgilio Mauro Di Pilato Pau Carrillo Barbera Elisa Palladino Paola Antonello Marcus Thelen Hans-Uwe Simon Rolf Krause Santiago F. Gonzalez An in vivo microscopy dataset for the characterization of leukocyte death Scientific Data |
| title | An in vivo microscopy dataset for the characterization of leukocyte death |
| title_full | An in vivo microscopy dataset for the characterization of leukocyte death |
| title_fullStr | An in vivo microscopy dataset for the characterization of leukocyte death |
| title_full_unstemmed | An in vivo microscopy dataset for the characterization of leukocyte death |
| title_short | An in vivo microscopy dataset for the characterization of leukocyte death |
| title_sort | in vivo microscopy dataset for the characterization of leukocyte death |
| url | https://doi.org/10.1038/s41597-025-04632-6 |
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