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Bond-selective intensity diffraction tomography

Author

Listed:
  • Jian Zhao

    (Boston University
    Massachusetts Institute of Technology)

  • Alex Matlock

    (Boston University
    Massachusetts Institute of Technology)

  • Hongbo Zhu

    (Chinese Academy of Sciences)

  • Ziqi Song

    (Chinese Academy of Sciences)

  • Jiabei Zhu

    (Boston University)

  • Biao Wang

    (Chinese Academy of Sciences)

  • Fukai Chen

    (Boston University)

  • Yuewei Zhan

    (Boston University)

  • Zhicong Chen

    (Boston University)

  • Yihong Xu

    (Boston University)

  • Xingchen Lin

    (Chinese Academy of Sciences)

  • Lei Tian

    (Boston University
    Boston University)

  • Ji-Xin Cheng

    (Boston University
    Boston University
    Boston University)

Abstract

Recovering molecular information remains a grand challenge in the widely used holographic and computational imaging technologies. To address this challenge, we developed a computational mid-infrared photothermal microscope, termed Bond-selective Intensity Diffraction Tomography (BS-IDT). Based on a low-cost brightfield microscope with an add-on pulsed light source, BS-IDT recovers both infrared spectra and bond-selective 3D refractive index maps from intensity-only measurements. High-fidelity infrared fingerprint spectra extraction is validated. Volumetric chemical imaging of biological cells is demonstrated at a speed of ~20 s per volume, with a lateral and axial resolution of ~350 nm and ~1.1 µm, respectively. BS-IDT’s application potential is investigated by chemically quantifying lipids stored in cancer cells and volumetric chemical imaging on Caenorhabditis elegans with a large field of view (~100 µm x 100 µm).

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35329-8
    DOI: 10.1038/s41467-022-35329-8
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    References listed on IDEAS

    as
    1. Haonan Lin & Hyeon Jeong Lee & Nathan Tague & Jean-Baptiste Lugagne & Cheng Zong & Fengyuan Deng & Jonghyeon Shin & Lei Tian & Wilson Wong & Mary J. Dunlop & Ji-Xin Cheng, 2021. "Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Lingyan Shi & Chaogu Zheng & Yihui Shen & Zhixing Chen & Edilson S. Silveira & Luyuan Zhang & Mian Wei & Chang Liu & Carmen Sena-Tomas & Kimara Targoff & Wei Min, 2018. "Optical imaging of metabolic dynamics in animals," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
    3. Jiaze Yin & Lu Lan & Yi Zhang & Hongli Ni & Yuying Tan & Meng Zhang & Yeran Bai & Ji-Xin Cheng, 2021. "Nanosecond-resolution photothermal dynamic imaging via MHZ digitization and match filtering," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. 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.
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    Cited by:

    1. Qing Xia & Zhongyue Guo & Haonan Zong & Scott Seitz & Celalettin Yurdakul & M. Selim Ünlü & Le Wang & John H. Connor & Ji-Xin Cheng, 2023. "Single virus fingerprinting by widefield interferometric defocus-enhanced mid-infrared photothermal microscopy," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

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