Evidence map›Paper›PMID 38448784›Full record

ArticleCommunications biology2024

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

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Zihan Lin *Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Xiao Zhang *Biology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.ORCID 0000-0002-7584-0712
Purbasha NandiBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Yuewei LinComputational Science Initiative, Brookhaven National Laboratory, Upton, NY, 11973, USA.ORCID 0000-0002-1429-4543
Liguo WangLaboratory for BioMolecular Structure, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Yong S ChuNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Timothy PaapeBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Yang YangNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA. yyang@bnl.gov.ORCID 0000-0001-5318-5385
Xianghui XiaoNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA. xiao@bnl.gov.ORCID 0000-0002-7142-3452
Qun LiuBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. qunliu@bnl.gov.ORCID 0000-0002-1179-290X
Brookhaven National Laboratory · USUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ResearchTomography, X-Ray ComputedOptical ImagingRadiographyX-Rays

Identifiers

PMID38448784
PMCPMC10917812
OpenAlexW4392613448

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.