IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-35259-5.html
   My bibliography  Save this article

Optical-resolution functional gastrointestinal photoacoustic endoscopy based on optical heterodyne detection of ultrasound

Author

Listed:
  • Yizhi Liang

    (Jinan University)

  • Wubing Fu

    (Jinan University)

  • Qiang Li

    (Jinan University)

  • Xiaolong Chen

    (Jinan University)

  • Huojiao Sun

    (Jinan University)

  • Lidai Wang

    (City University of Hong Kong)

  • Long Jin

    (Jinan University)

  • Wei Huang

    (Jinan University)

  • Bai-Ou Guan

    (Jinan University)

Abstract

Photoacoustic endoscopy shows promise in the detection of gastrointestinal cancer, inflammation, and other lesions. High-resolution endoscopic imaging of the hemodynamic response necessitates a small-sized, high-sensitivity ultrasound sensor. Here, we utilize a laser ultrasound sensor to develop a miniaturized, optical-resolution photoacoustic endoscope. The sensor can boost the acoustic response by a gain factor of ωo/Ω (the frequency ratio of the signal light and measured ultrasound) by measuring the acoustically induced optical phase change. As a result, we achieve a noise-equivalent pressure density (NEPD) below 1.5 mPa·Hz−1/2 over the measured range of 5 to 25 MHz. The heterodyne phase detection using dual-frequency laser beams of the sensor can offer resistance to thermal drift and vibrational perturbations. The endoscope is used to in vivo image a rat rectum and visualize the oxygen saturation changes during acute inflammation, which can hardly be observed with other imaging modalities.

Suggested Citation

  • Yizhi Liang & Wubing Fu & Qiang Li & Xiaolong Chen & Huojiao Sun & Lidai Wang & Long Jin & Wei Huang & Bai-Ou Guan, 2022. "Optical-resolution functional gastrointestinal photoacoustic endoscopy based on optical heterodyne detection of ultrasound," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35259-5
    DOI: 10.1038/s41467-022-35259-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-35259-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-35259-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rami Shnaiderman & Georg Wissmeyer & Okan Ülgen & Qutaiba Mustafa & Andriy Chmyrov & Vasilis Ntziachristos, 2020. "A submicrometre silicon-on-insulator resonator for ultrasound detection," Nature, Nature, vol. 585(7825), pages 372-378, September.
    2. Thibault Wildi & Thibault Voumard & Victor Brasch & Gürkan Yilmaz & Tobias Herr, 2020. "Photo-acoustic dual-frequency comb spectroscopy," Nature Communications, Nature, vol. 11(1), pages 1-6, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yoav Hazan & Ahiad Levi & Michael Nagli & Amir Rosenthal, 2022. "Silicon-photonics acoustic detector for optoacoustic micro-tomography," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. Daowang Peng & Chenglin Gu & Zhong Zuo & Yuanfeng Di & Xing Zou & Lulu Tang & Lunhua Deng & Daping Luo & Yang Liu & Wenxue Li, 2023. "Dual-comb optical activity spectroscopy for the analysis of vibrational optical activity induced by external magnetic field," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Xinyi Ren & Jin Pan & Ming Yan & Jiteng Sheng & Cheng Yang & Qiankun Zhang & Hui Ma & Zhaoyang Wen & Kun Huang & Haibin Wu & Heping Zeng, 2023. "Dual-comb optomechanical spectroscopy," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. Jingshun Pan & Qiang Li & Yaoming Feng & Ruifeng Zhong & Zhihao Fu & Shuixian Yang & Weiyuan Sun & Bin Zhang & Qi Sui & Jun Chen & Yuecheng Shen & Zhaohui Li, 2023. "Parallel interrogation of the chalcogenide-based micro-ring sensor array for photoacoustic tomography," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Qiang Wang & Zhen Wang & Hui Zhang & Shoulin Jiang & Yingying Wang & Wei Jin & Wei Ren, 2022. "Dual-comb photothermal spectroscopy," Nature Communications, Nature, vol. 13(1), pages 1-7, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35259-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.