Bond-selective intensity diffraction tomography

Jian Zhao, Alex Matlock, Hongbo Zhu (), Ziqi Song, Jiabei Zhu, Biao Wang, Fukai Chen, Yuewei Zhan, Zhicong Chen, Yihong Xu, Xingchen Lin, Lei Tian () and Ji-Xin Cheng ()
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Jian Zhao: Boston University
Alex Matlock: Boston University
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
Ji-Xin Cheng: Boston University

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: 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).

Date: 2022
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DOI: 10.1038/s41467-022-35329-8

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