Evidence map›Paper›PMID 41583960›Full record

ArticleFrontiers in medical technology2025

X-ray contrast-adjustable 3D printing for multimodal fusion of microCT and histology.

Philipp Nolte, Chris Johann Ackurat, Marcel Brettmacher, Marius Reichardt, Marieke Stammes, Christoph Rußmann, Christian Dullin

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Philipp Nolte *Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen, Lower Saxony, Germany.
Chris Johann Ackurat *Faculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen, Lower Saxony, Germany.
Marcel BrettmacherFaculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen, Lower Saxony, Germany.
Marius ReichardtHistomography GmbH, Goettingen, Lower Saxony, Germany.
Marieke StammesBiomedical Primate Research Centre, Rijswijk, Zuid-Holland, Netherlands.
Christoph RußmannFaculty of Engineering and Health, University of Applied Sciences and Arts, Goettingen, Lower Saxony, Germany.
Christian DullinInstitute for Clinical and Interventional Radiology, University Medical Center, Goettingen, Lower Saxony, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Phantoms and reference structures are essential tools for calibration and correlative imaging in pre-clinical and research applications of X-ray-based imaging. They serve as reference standards, ensuring consistency and accuracy in imaging results. However, generating individual phantoms often involves a complex creation process, high production costs, and significant time investment. Material and methods: Conic reference structures were 3D printed using a mixture of UV-curable resin and X-ray contrast agents. These structures were then embedded together with lung specimens of SARS-CoV-2-infected rhesus macaques in a methyl methacrylate-based solution. The polymerized blocks were scanned using propagation-based phase-contrast microCT, a method chosen for its superior ability to enhance contrast, especially in low-absorbing biological samples. Utilizing the conic reference structures, subsequently performed histological sections were co-registered into the 3D context of the microCT datasets. Results: The produced 3D printed models were highly visible in terms of contrast and detail in both imaging methods, allowing for a precise co-registration of microCT and histological imaging. Conclusions: The novel methodology of using contrast agents and resin in 3D printing enables the generation of customizable, contrast-specific phantoms and reference structures. These can be straightforwardly segmented from the embedding material, significantly simplifying and enhancing the workflow of multimodal imaging processes. In this study, 3D printed conic reference structures were effectively used to automate and streamline the precise multimodal fusion of microCT and histological imaging.

Indexed as

3D printercorrelative imagingdigital light processing (DLP)histologyimage registrationmicroCT (μCT) scanning technologymultimodal fusion

Identifiers

PMID41583960
PMCPMC12827677

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.