Evidence map›Paper›PMID 42499685›Full record

ArticleExperiments in fluids2026

Synchrotron X-ray multi-projection imaging (XMPI) for high-resolution 4D characterization of multiphase flows.

Tomas Rosén, Zisheng Yao, Jonas Tejbo, Patrick Wegele, Julia K Rogalinski, Frida Nilsson, Kannara Mom, Zhe Hu, Samuel A McDonald, Kim Nygård and 8 more

Abstract read
In one paragraph

Article in Experiments in fluids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Tomas RosénDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2346-7063
Zisheng YaoSynchrotron Radiation Research and NanoLund, Lund University, Lund, Sweden.
Jonas TejboDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Patrick WegeleDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Julia K RogalinskiSynchrotron Radiation Research and NanoLund, Lund University, Lund, Sweden.
Frida NilssonDepartment of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
Kannara MomTIMC, Université Grenoble Alpes, Grenoble, France.
Zhe HuSynchrotron Radiation Research and NanoLund, Lund University, Lund, Sweden.
Samuel A McDonaldMAX IV Laboratory, Lund University, Lund, Sweden.
Kim NygårdMAX IV Laboratory, Lund University, Lund, Sweden.
Andrea MazzolariDepartment of Physics and Earth Science, Ferrara University, Ferrara, Italy.
Alexander GroetschDepartment of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
Korneliya GordeyevaDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
L Daniel SöderbergDepartment of Fibre and Polymer Technology, KTH Royal Institute of Technology, Stockholm, Sweden.
Fredrik LundellDepartment of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
Lisa Prahl WittbergDepartment of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.
Eleni Myrto AsimakopoulouSynchrotron Radiation Research and NanoLund, Lund University, Lund, Sweden.
Pablo Villanueva-PerezSynchrotron Radiation Research and NanoLund, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiphase flows where particles, bubbles, or droplets are suspended in a fluid govern critical processes in biology, medicine, materials processing, and geophysics. However, observing their microscale dynamics in opaque systems has remained a fundamental challenge. We present Synchrotron X-ray Multi-Projection Imaging (XMPI), a novel approach enabling four-dimensional (3D + time) tracking of microparticles in visibly opaque suspension flows without requiring sample rotation. By capturing simultaneous projections from multiple angles using beam-split X-rays at synchrotron facilities, we resolve instantaneous particle positions and trajectories in opaque fluids such as blood. We demonstrate the potential of XMPI through individual particle tracking velocimetry (3D PTV) in dilute conditions, as well as multi-projection image velocimetry in dense suspensions. The methodology provides otherwise inaccessible experimental validation for particle-resolved computational fluid dynamics models and allows, e.g., observation of inertial focusing effects and microstructural dynamics relevant to suspension rheology and biomedical flows. This work paves the way for high-resolution, time-resolved 4D imaging of complex multiphase flows across a range of scientific and industrial applications. Combining XMPI with recent AI-supported 4D reconstruction algorithms opens a new spatiotemporal frontier for high-speed, rotation-free microtomography. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s00348-026-04271-6.

Identifiers

PMID42499685
PMCPMC13395912

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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.