ArticleScientific reports2021
Elastic transformation of histological slices allows precise co-registration with microCT data sets for a refined virtual histology approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Registration-based 3D Light Sheet Fluorescence Microscopy and 2D histology image fusion tool for pathological specimen.Scientific reports · 2026Article
- Dual-Modal Autofluorescence Microscopy for CycleGAN-Based H&E-like Image Generation in Liver Tissue: A Preliminary Proof-of-Concept Study.Diagnostics (Basel, Switzerland) · 2026Article
- Novel image registration approach for combining 2D Osterix and collagen bundles images with 3D micro-CT.JBMR plus · 2026Article
- Integrated 3D imaging of FFPE lung tissue combining microCT, light and electron microscopy allows for contextualized ultrastructural and histological analysis.Scientific reports · 2025Article
- [New methods at the transition from research to routine diagnostics].Pathologie (Heidelberg, Germany) · 2025Article
- X-ray contrast-adjustable 3D printing for multimodal fusion of microCT and histology.Frontiers in medical technology · 2025Article
- Synchrotron X-ray imaging of soft biological tissues - principles, applications and future prospects.Journal of cell science · 2024Review
- Method for co-registration of high-resolution specimen PET-CT with histopathology to improve insight into radiotracer distributions.EJNMMI physics · 2024Article
- Multiscale and multimodal imaging for three-dimensional vascular and histomorphological organ structure analysis of the pancreas.Scientific reports · 2024Article
- Prediction of preoperative microvascular invasion by dynamic radiomic analysis based on contrast-enhanced computed tomography.Abdominal radiology (New York) · 2024Article
- Evaluation of MR-safe bioptomes for MR-guided endomyocardial biopsy in minipigs: a potential radiation-free clinical approach.European radiology experimental · 2023Article
- Feasibility and safety of synchrotron-based X-ray phase contrast imaging as a technique complementary to histopathology analysis.Histochemistry and cell biology · 2023Article
- In focus in HCB.Histochemistry and cell biology · 2023Article
- Hard X-ray full-field nanoimaging using a direct photon-counting detector.Journal of synchrotron radiation · 2023Article
- X-ray phase-contrast 3D virtual histology characterises complex tissue architecture in colorectal cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2023Article
- Synchrotron X-ray biosample imaging: opportunities and challenges.Biophysical reviews · 2022Article
- Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging.Radiology research and practice · 2022Review
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9 authors.
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Abstract
Although X-ray based 3D virtual histology is an emerging tool for the analysis of biological tissue, it falls short in terms of specificity when compared to conventional histology. Thus, the aim was to establish a novel approach that combines 3D information provided by microCT with high specificity that only (immuno-)histochemistry can offer. For this purpose, we developed a software frontend, which utilises an elastic transformation technique to accurately co-register various histological and immunohistochemical stainings with free propagation phase contrast synchrotron radiation microCT. We demonstrate that the precision of the overlay of both imaging modalities is significantly improved by performing our elastic registration workflow, as evidenced by calculation of the displacement index. To illustrate the need for an elastic co-registration approach we examined specimens from a mouse model of breast cancer with injected metal-based nanoparticles. Using the elastic transformation pipeline, we were able to co-localise the nanoparticles to specifically stained cells or tissue structures into their three-dimensional anatomical context. Additionally, we performed a semi-automated tissue structure and cell classification. This workflow provides new insights on histopathological analysis by combining CT specific three-dimensional information with cell/tissue specific information provided by classical histology.
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