Communications Biology (Mar 2024)

Correlative single-cell hard X-ray computed tomography and X-ray fluorescence imaging

  • Zihan Lin,
  • Xiao Zhang,
  • Purbasha Nandi,
  • Yuewei Lin,
  • Liguo Wang,
  • Yong S. Chu,
  • Timothy Paape,
  • Yang Yang,
  • Xianghui Xiao,
  • Qun Liu

DOI
https://doi.org/10.1038/s42003-024-05950-y
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 9

Abstract

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Abstract X-ray computed tomography (XCT) and X-ray fluorescence (XRF) imaging are two non-invasive imaging techniques to study cellular structures and chemical element distributions, respectively. However, correlative X-ray computed tomography and fluorescence imaging for the same cell have yet to be routinely realized due to challenges in sample preparation and X-ray radiation damage. Here we report an integrated experimental and computational workflow for achieving correlative multi-modality X-ray imaging of a single cell. The method consists of the preparation of radiation-resistant single-cell samples using live-cell imaging-assisted chemical fixation and freeze-drying procedures, targeting and labeling cells for correlative XCT and XRF measurement, and computational reconstruction of the correlative and multi-modality images. With XCT, cellular structures including the overall structure and intracellular organelles are visualized, while XRF imaging reveals the distribution of multiple chemical elements within the same cell. Our correlative method demonstrates the feasibility and broad applicability of using X-rays to understand cellular structures and the roles of chemical elements and related proteins in signaling and other biological processes.