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Quantitative volumetric Raman imaging of three dimensional cell cultures

Author

Listed:
  • Charalambos Kallepitis

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Mads S. Bergholt

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Manuel M. Mazo

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Vincent Leonardo

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Stacey C. Skaalure

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Stephanie A. Maynard

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

  • Molly M. Stevens

    (Imperial College London
    Imperial College London
    Institute of Biomedical Engineering, Imperial College London)

Abstract

The ability to simultaneously image multiple biomolecules in biologically relevant three-dimensional (3D) cell culture environments would contribute greatly to the understanding of complex cellular mechanisms and cell–material interactions. Here, we present a computational framework for label-free quantitative volumetric Raman imaging (qVRI). We apply qVRI to a selection of biological systems: human pluripotent stem cells with their cardiac derivatives, monocytes and monocyte-derived macrophages in conventional cell culture systems and mesenchymal stem cells inside biomimetic hydrogels that supplied a 3D cell culture environment. We demonstrate visualization and quantification of fine details in cell shape, cytoplasm, nucleus, lipid bodies and cytoskeletal structures in 3D with unprecedented biomolecular specificity for vibrational microspectroscopy.

Suggested Citation

  • Charalambos Kallepitis & Mads S. Bergholt & Manuel M. Mazo & Vincent Leonardo & Stacey C. Skaalure & Stephanie A. Maynard & Molly M. Stevens, 2017. "Quantitative volumetric Raman imaging of three dimensional cell cultures," Nature Communications, Nature, vol. 8(1), pages 1-9, April.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14843
    DOI: 10.1038/ncomms14843
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    Cited by:

    1. Elzbieta Stepula & Anders R. Walther & Magnus Jensen & Dev R. Mehrotra & Mu H. Yuan & Simon V. Pedersen & Vishal Kumar & Eileen Gentleman & Michael B. Albro & Martin A. B. Hedegaard & Mads S. Bergholt, 2024. "Label-free 3D molecular imaging of living tissues using Raman spectral projection tomography," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Jian Zhao & Alex Matlock & Hongbo Zhu & Ziqi Song & Jiabei Zhu & Biao Wang & Fukai Chen & Yuewei Zhan & Zhicong Chen & Yihong Xu & Xingchen Lin & Lei Tian & Ji-Xin Cheng, 2022. "Bond-selective intensity diffraction tomography," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Hao He & Maofeng Cao & Yun Gao & Peng Zheng & Sen Yan & Jin-Hui Zhong & Lei Wang & Dayong Jin & Bin Ren, 2024. "Noise learning of instruments for high-contrast, high-resolution and fast hyperspectral microscopy and nanoscopy," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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