ArticleScientific reports2015
High contrast microstructural visualization of natural acellular matrices by means of phase-based x-ray tomography.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Critical point drying of brain tissue for X-ray phase-contrast imaging.Journal of synchrotron radiation · 2026Article
- High-angular-sensitivity X-ray phase-contrast microtomography of soft tissue through a two-directional beam-tracking synchrotron set-up.Journal of synchrotron radiation · 2024Article
- Crystal optics simulations for delineation of the three-dimensional cellular nuclear distribution using analyzer-based refraction-contrast computed tomography.Scientific reports · 2022Article
- Bio-Engineered Scaffolds Derived from Decellularized Human Esophagus for Functional Organ Reconstruction.Cells · 2022Article
- Mitochondrial fission links ECM mechanotransduction to metabolic redox homeostasis and metastatic chemotherapy resistance.Nature cell biology · 2022Article
- Optimization of Complete Rat Heart Decellularization Using Artificial Neural Networks.Micromachines · 2022Article
- Quantitative X-ray phase contrast computed tomography with grating interferometry : Biomedical applications of quantitative X-ray grating-based phase contrast computed tomography.European journal of nuclear medicine and molecular imaging · 2021Review
- Edge-illumination x-ray phase-contrast imaging.Journal of physics. Condensed matter : an Institute of Physics journal · 2021Review
- A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.Scientific reports · 2019Article
- A Gaussian extension for Diffraction Enhanced Imaging.Scientific reports · 2018Article
- Recent advances in edge illumination x-ray phase-contrast tomography.Journal of medical imaging (Bellingham, Wash.) · 2017Review
- Long-term cryopreservation of decellularised oesophagi for tissue engineering clinical application.PloS one · 2017Article
- Update on Foregut Molecular Embryology and Role of Regenerative Medicine Therapies.Frontiers in pediatrics · 2017Review
- High-contrast X-ray micro-radiography and micro-CT of ex-vivo soft tissue murine organs utilizing ethanol fixation and large area photon-counting detector.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Acellular scaffolds obtained via decellularization are a key instrument in regenerative medicine both per se and to drive the development of future-generation synthetic scaffolds that could become available off-the-shelf. In this framework, imaging is key to the understanding of the scaffolds' internal structure as well as their interaction with cells and other organs, including ideally post-implantation. Scaffolds of a wide range of intricate organs (esophagus, lung, liver and small intestine) were imaged with x-ray phase contrast computed tomography (PC-CT). Image quality was sufficiently high to visualize scaffold microarchitecture and to detect major anatomical features, such as the esophageal mucosal-submucosal separation, pulmonary alveoli and intestinal villi. These results are a long-sought step for the field of regenerative medicine; until now, histology and scanning electron microscopy have been the gold standard to study the scaffold structure. However, they are both destructive: hence, they are not suitable for imaging scaffolds prior to transplantation, and have no prospect for post-transplantation use. PC-CT, on the other hand, is non-destructive, 3D and fully quantitative. Importantly, not only do we demonstrate achievement of high image quality at two different synchrotron facilities, but also with commercial x-ray equipment, which makes the method available to any research laboratory.
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Registered trials
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.