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


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
07 Mar 2024
Historique:
received: 24 08 2023
accepted: 21 02 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 6 3 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38448784
doi: 10.1038/s42003-024-05950-y
pii: 10.1038/s42003-024-05950-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

280

Informations de copyright

© 2024. The Author(s).

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Auteurs

Zihan Lin (Z)

Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Xiao Zhang (X)

Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Purbasha Nandi (P)

Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Yuewei Lin (Y)

Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Liguo Wang (L)

Laboratory for BioMolecular Structure, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Yong S Chu (YS)

National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.

Timothy Paape (T)

Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
U.S. Department of Agriculture's Agricultural Research Service at Children's Nutrition Research Center, Houston, TX, 77030, USA.

Yang Yang (Y)

National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA. yyang@bnl.gov.

Xianghui Xiao (X)

National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA. xiao@bnl.gov.

Qun Liu (Q)

Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. qunliu@bnl.gov.
National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA. qunliu@bnl.gov.

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