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Nanosecond-resolution photothermal dynamic imaging via MHZ digitization and match filtering

Author

Listed:
  • Jiaze Yin

    (Boston University
    Photonics Center, Boston University)

  • Lu Lan

    (Boston University
    Photonics Center, Boston University)

  • Yi Zhang

    (Boston University)

  • Hongli Ni

    (Boston University
    Photonics Center, Boston University)

  • Yuying Tan

    (Boston University)

  • Meng Zhang

    (Boston University
    Photonics Center, Boston University)

  • Yeran Bai

    (Boston University
    Photonics Center, Boston University)

  • Ji-Xin Cheng

    (Boston University
    Photonics Center, Boston University
    Boston University
    Boston University)

Abstract

Photothermal microscopy has enabled highly sensitive label-free imaging of absorbers, from metallic nanoparticles to chemical bonds. Photothermal signals are conventionally detected via modulation of excitation beam and demodulation of probe beam using lock-in amplifier. While convenient, the wealth of thermal dynamics is not revealed. Here, we present a lock-in free, mid-infrared photothermal dynamic imaging (PDI) system by MHz digitization and match filtering at harmonics of modulation frequency. Thermal-dynamic information is acquired at nanosecond resolution within single pulse excitation. Our method not only increases the imaging speed by two orders of magnitude but also obtains four-fold enhancement of signal-to-noise ratio over lock-in counterpart, enabling high-throughput metabolism analysis at single-cell level. Moreover, by harnessing the thermal decay difference between water and biomolecules, water background is effectively separated in mid-infrared PDI of living cells. This ability to nondestructively probe chemically specific photothermal dynamics offers a valuable tool to characterize biological and material specimens.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27362-w
    DOI: 10.1038/s41467-021-27362-w
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    References listed on IDEAS

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    1. Ying Jiang & Hyeon Jeong Lee & Lu Lan & Hua-an Tseng & Chen Yang & Heng-Ye Man & Xue Han & Ji-Xin Cheng, 2020. "Optoacoustic brain stimulation at submillimeter spatial precision," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    2. Le Wang & Xiaoji G. Xu, 2015. "Scattering-type scanning near-field optical microscopy with reconstruction of vertical interaction," Nature Communications, Nature, vol. 6(1), pages 1-9, December.
    3. M. Bouzin & M. Marini & A. Zeynali & M. Borzenkov & L. Sironi & L. D’Alfonso & F. Mingozzi & F. Granucci & P. Pallavicini & G. Chirico & M. Collini, 2019. "Photo-activated raster scanning thermal imaging at sub-diffraction resolution," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    4. G. Kucsko & P. C. Maurer & N. Y. Yao & M. Kubo & H. J. Noh & P. K. Lo & H. Park & M. D. Lukin, 2013. "Nanometre-scale thermometry in a living cell," Nature, Nature, vol. 500(7460), pages 54-58, August.
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    Cited by:

    1. Yeran Bai & Carolina M. Camargo & Stella M. K. Glasauer & Raymond Gifford & Xinran Tian & Andrew P. Longhini & Kenneth S. Kosik, 2024. "Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems," Nature Communications, Nature, vol. 15(1), pages 1-15, 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.

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