Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis
Abstract Imaging flow cytometry (IFC) combines flow cytometry and fluorescence microscopy to enable high-throughput, multiparametric single-cell analysis with rich spatial details. However, current IFC techniques remain limited in their ability to reveal subcellular information with a high 3D resolu...
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| Format: | Article |
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Nature Portfolio
2024-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-46250-7 |
| _version_ | 1797274087476690944 |
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| author | Xuanwen Hua Keyi Han Biagio Mandracchia Afsane Radmand Wenhao Liu Hyejin Kim Zhou Yuan Samuel M. Ehrlich Kaitao Li Corey Zheng Jeonghwan Son Aaron D. Silva Trenkle Gabriel A. Kwong Cheng Zhu James E. Dahlman Shu Jia |
| author_facet | Xuanwen Hua Keyi Han Biagio Mandracchia Afsane Radmand Wenhao Liu Hyejin Kim Zhou Yuan Samuel M. Ehrlich Kaitao Li Corey Zheng Jeonghwan Son Aaron D. Silva Trenkle Gabriel A. Kwong Cheng Zhu James E. Dahlman Shu Jia |
| author_sort | Xuanwen Hua |
| collection | DOAJ |
| description | Abstract Imaging flow cytometry (IFC) combines flow cytometry and fluorescence microscopy to enable high-throughput, multiparametric single-cell analysis with rich spatial details. However, current IFC techniques remain limited in their ability to reveal subcellular information with a high 3D resolution, throughput, sensitivity, and instrumental simplicity. In this study, we introduce a light-field flow cytometer (LFC), an IFC system capable of high-content, single-shot, and multi-color acquisition of up to 5,750 cells per second with a near-diffraction-limited resolution of 400-600 nm in all three dimensions. The LFC system integrates optical, microfluidic, and computational strategies to facilitate the volumetric visualization of various 3D subcellular characteristics through convenient access to commonly used epi-fluorescence platforms. We demonstrate the effectiveness of LFC in assaying, analyzing, and enumerating intricate subcellular morphology, function, and heterogeneity using various phantoms and biological specimens. The advancement offered by the LFC system presents a promising methodological pathway for broad cell biological and translational discoveries, with the potential for widespread adoption in biomedical research. |
| first_indexed | 2024-03-07T14:53:21Z |
| format | Article |
| id | doaj.art-4523c0533efd47cd8f5f386a1b3e847a |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-07T14:53:21Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-4523c0533efd47cd8f5f386a1b3e847a2024-03-05T19:32:50ZengNature PortfolioNature Communications2041-17232024-03-0115111210.1038/s41467-024-46250-7Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysisXuanwen Hua0Keyi Han1Biagio Mandracchia2Afsane Radmand3Wenhao Liu4Hyejin Kim5Zhou Yuan6Samuel M. Ehrlich7Kaitao Li8Corey Zheng9Jeonghwan Son10Aaron D. Silva Trenkle11Gabriel A. Kwong12Cheng Zhu13James E. Dahlman14Shu Jia15Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityParker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of TechnologyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityParker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of TechnologyParker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of TechnologyWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityAbstract Imaging flow cytometry (IFC) combines flow cytometry and fluorescence microscopy to enable high-throughput, multiparametric single-cell analysis with rich spatial details. However, current IFC techniques remain limited in their ability to reveal subcellular information with a high 3D resolution, throughput, sensitivity, and instrumental simplicity. In this study, we introduce a light-field flow cytometer (LFC), an IFC system capable of high-content, single-shot, and multi-color acquisition of up to 5,750 cells per second with a near-diffraction-limited resolution of 400-600 nm in all three dimensions. The LFC system integrates optical, microfluidic, and computational strategies to facilitate the volumetric visualization of various 3D subcellular characteristics through convenient access to commonly used epi-fluorescence platforms. We demonstrate the effectiveness of LFC in assaying, analyzing, and enumerating intricate subcellular morphology, function, and heterogeneity using various phantoms and biological specimens. The advancement offered by the LFC system presents a promising methodological pathway for broad cell biological and translational discoveries, with the potential for widespread adoption in biomedical research.https://doi.org/10.1038/s41467-024-46250-7 |
| spellingShingle | Xuanwen Hua Keyi Han Biagio Mandracchia Afsane Radmand Wenhao Liu Hyejin Kim Zhou Yuan Samuel M. Ehrlich Kaitao Li Corey Zheng Jeonghwan Son Aaron D. Silva Trenkle Gabriel A. Kwong Cheng Zhu James E. Dahlman Shu Jia Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis Nature Communications |
| title | Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis |
| title_full | Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis |
| title_fullStr | Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis |
| title_full_unstemmed | Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis |
| title_short | Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis |
| title_sort | light field flow cytometry for high resolution volumetric and multiparametric 3d single cell analysis |
| url | https://doi.org/10.1038/s41467-024-46250-7 |
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