Evidence map›Paper›PMID 35748171›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.

Kirsten Taphorn, Madleen Busse, Johannes Brantl, Benedikt Günther, Ana Diaz, Mirko Holler, Martin Dierolf, Doris Mayr, Franz Pfeiffer, Julia Herzen

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. X-Ray Multibeam Ptychography at up to 20 keV: Nano-Lithography Enhances X-Ray Nano-Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Article
  5. X-ray Stain Localization with Near-Field Ptychographic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
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 4 institutions in 2 countries.

Kirsten TaphornChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID 0000-0002-6160-3273
Madleen BusseChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID 0000-0002-0114-2380
Johannes BrantlChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Benedikt GüntherChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Ana DiazPaul Scherrer Institute, Villigen, 5232, Switzerland.ORCID 0000-0003-0479-4752
Mirko HollerPaul Scherrer Institute, Villigen, 5232, Switzerland.ORCID 0000-0001-8141-0148
Martin DierolfChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID 0000-0001-5150-2949
Doris MayrInstitute of Pathology, Ludwig-Maximilians-University, 80337, Munich, Germany.
Franz PfeifferChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID 0000-0001-6665-4363
Julia HerzenChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID 0000-0002-9456-1591
Technical University of Munich · DEPaul Scherrer Institute · CHLudwig-Maximilians-Universität München · DETUM Klinikum · DE

Funding

Deutsche Forschungsgemeinschaft: Research Training Group GRK 2274
6 · The paper itself

Abstract

Although X-ray contrast agents offer specific characteristics in terms of targeting and attenuation, their accumulation in the tissue on a cellular level is usually not known and difficult to access, as it requires high resolution and sensitivity. Here, quantitative near-field ptychographic X-ray computed tomography is demonstrated to assess the location of X-ray stains at a resolution sufficient to identify intracellular structures by means of a basis material decomposition. On the example of two different X-ray stains, the nonspecific iodine potassium iodide, and eosin Y, which mostly interacts with proteins and peptides in the cell cytoplasm, the distribution of the stains within the cells in murine kidney samples is assessed and compared to unstained samples with similar structural features. Quantitative nanoscopic stain concentrations are in good agreement with dual-energy micro computed tomography measurements, the state-of-the-art modality for material-selective imaging. The presented approach can be applied to a variety of X-ray stains advancing the development of X-ray contrast agents.

Indexed as

Coloring AgentsContrast MediaAnimalsMiceStaining and LabelingX-Ray MicrotomographyX-RaysColoring AgentsContrast Mediacontrast agentsptychographic computed tomographyquantitative X-ray imaging

Identifiers

PMID35748171
PMCPMC9404393
OpenAlexW4283395078

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.