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Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis

Author

Listed:
  • Xuanwen Hua

    (Georgia Institute of Technology and Emory University)

  • Keyi Han

    (Georgia Institute of Technology and Emory University)

  • Biagio Mandracchia

    (Georgia Institute of Technology and Emory University)

  • Afsane Radmand

    (Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology
    Georgia Institute of Technology)

  • Wenhao Liu

    (Georgia Institute of Technology and Emory University)

  • Hyejin Kim

    (Georgia Institute of Technology and Emory University)

  • Zhou Yuan

    (Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology
    Georgia W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology)

  • Samuel M. Ehrlich

    (Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology
    Georgia W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology)

  • Kaitao Li

    (Georgia Institute of Technology and Emory University)

  • Corey Zheng

    (Georgia Institute of Technology and Emory University)

  • Jeonghwan Son

    (Georgia Institute of Technology and Emory University)

  • Aaron D. Silva Trenkle

    (Georgia Institute of Technology and Emory University)

  • Gabriel A. Kwong

    (Georgia Institute of Technology and Emory University
    Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology)

  • Cheng Zhu

    (Georgia Institute of Technology and Emory University
    Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology)

  • James E. Dahlman

    (Georgia Institute of Technology and Emory University
    Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology)

  • Shu Jia

    (Georgia Institute of Technology and Emory University
    Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology)

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.

Suggested Citation

  • 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. K, 2024. "Light-field flow cytometry for high-resolution, volumetric and multiparametric 3D single-cell analysis," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46250-7
    DOI: 10.1038/s41467-024-46250-7
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    References listed on IDEAS

    as
    1. Biagio Mandracchia & Xuanwen Hua & Changliang Guo & Jeonghwan Son & Tara Urner & Shu Jia, 2020. "Fast and accurate sCMOS noise correction for fluorescence microscopy," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
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