3D+t Multifocal Imaging Dataset of Human Sperm
Abstract Understanding human fertility requires dynamic and three-dimensional (3D) analysis of sperm movement, which extends beyond the capabilities of traditional datasets focused primarily on two-dimensional sperm motility or static morphological characteristics. To address this limitation, we int...
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| Format: | Article |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05177-4 |
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| author | Fernando Montoya Andrés Bribiesca-Sánchez Paul Hernández-Herrera Dan Sidney Díaz-Guerrero Ana Laura Gonzalez-Cota Hermes Bloomfield-Gadelha Alberto Darszon Gabriel Corkidi |
| author_facet | Fernando Montoya Andrés Bribiesca-Sánchez Paul Hernández-Herrera Dan Sidney Díaz-Guerrero Ana Laura Gonzalez-Cota Hermes Bloomfield-Gadelha Alberto Darszon Gabriel Corkidi |
| author_sort | Fernando Montoya |
| collection | DOAJ |
| description | Abstract Understanding human fertility requires dynamic and three-dimensional (3D) analysis of sperm movement, which extends beyond the capabilities of traditional datasets focused primarily on two-dimensional sperm motility or static morphological characteristics. To address this limitation, we introduce the 3D+t Multifocal Imaging Dataset of Human Sperm (3D-SpermVid), a repository comprising 121 multifocal video-microscopy hyperstacks of freely swimming sperm cells, incubated under non-capacitating conditions (NCC) and capacitating conditions (CC). This collection enables detailed observation and analysis of 3D sperm flagellar motility patterns over time, offering novel insights into the capacitation process and its implications for fertility. Data were captured using a multifocal imaging (MFI) system based on an optical microscope equipped with a piezoelectric device that adjusts focus at various heights, recording sperm movement in a volumetric space. By making this data publicly available, we aim to enable applications in deep learning and pattern recognition to uncover hidden flagellar motility patterns, fostering significant advancements in understanding 3D sperm morphology and dynamics, and developing new diagnostic tools for assessing male fertility, as well as assisting in the self-organizaton mechanisms driving spontaneous motility and navigation in 3D. |
| format | Article |
| id | doaj-art-2bad77beba4549bebd5b302a5583bd7c |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-2bad77beba4549bebd5b302a5583bd7c2025-08-20T03:53:57ZengNature PortfolioScientific Data2052-44632025-05-011211710.1038/s41597-025-05177-43D+t Multifocal Imaging Dataset of Human SpermFernando Montoya0Andrés Bribiesca-Sánchez1Paul Hernández-Herrera2Dan Sidney Díaz-Guerrero3Ana Laura Gonzalez-Cota4Hermes Bloomfield-Gadelha5Alberto Darszon6Gabriel Corkidi7Laboratorio de Imágenes y Visión por Computadora, Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de MéxicoLaboratorio de Imágenes y Visión por Computadora, Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de MéxicoFacultad de Ciencias, Universidad Autónoma de San Luis PotosíLaboratorio de Imágenes y Visión por Computadora, Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de MéxicoUniversidad Autónoma Benito Juárez de OaxacaSchool of Engineering Mathematics and Technology & Bristol Robotics Laboratory, University of BristolDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de MexicoLaboratorio de Imágenes y Visión por Computadora, Departamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de MéxicoAbstract Understanding human fertility requires dynamic and three-dimensional (3D) analysis of sperm movement, which extends beyond the capabilities of traditional datasets focused primarily on two-dimensional sperm motility or static morphological characteristics. To address this limitation, we introduce the 3D+t Multifocal Imaging Dataset of Human Sperm (3D-SpermVid), a repository comprising 121 multifocal video-microscopy hyperstacks of freely swimming sperm cells, incubated under non-capacitating conditions (NCC) and capacitating conditions (CC). This collection enables detailed observation and analysis of 3D sperm flagellar motility patterns over time, offering novel insights into the capacitation process and its implications for fertility. Data were captured using a multifocal imaging (MFI) system based on an optical microscope equipped with a piezoelectric device that adjusts focus at various heights, recording sperm movement in a volumetric space. By making this data publicly available, we aim to enable applications in deep learning and pattern recognition to uncover hidden flagellar motility patterns, fostering significant advancements in understanding 3D sperm morphology and dynamics, and developing new diagnostic tools for assessing male fertility, as well as assisting in the self-organizaton mechanisms driving spontaneous motility and navigation in 3D.https://doi.org/10.1038/s41597-025-05177-4 |
| spellingShingle | Fernando Montoya Andrés Bribiesca-Sánchez Paul Hernández-Herrera Dan Sidney Díaz-Guerrero Ana Laura Gonzalez-Cota Hermes Bloomfield-Gadelha Alberto Darszon Gabriel Corkidi 3D+t Multifocal Imaging Dataset of Human Sperm Scientific Data |
| title | 3D+t Multifocal Imaging Dataset of Human Sperm |
| title_full | 3D+t Multifocal Imaging Dataset of Human Sperm |
| title_fullStr | 3D+t Multifocal Imaging Dataset of Human Sperm |
| title_full_unstemmed | 3D+t Multifocal Imaging Dataset of Human Sperm |
| title_short | 3D+t Multifocal Imaging Dataset of Human Sperm |
| title_sort | 3d t multifocal imaging dataset of human sperm |
| url | https://doi.org/10.1038/s41597-025-05177-4 |
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