Synchrotron inline phase contrast µCT enables detailed virtual histology of embedded soft-tissue samples with and without staining.
Mara SaccomanoJonas AlbersGiuliana TrombaMarina Dobrivojević RadmilovićSrećko GajovićFrauke AlvesChristian DullinPublished in: Journal of synchrotron radiation (2018)
Synchrotron radiation micro-computed tomography (SRµCT) based virtual histology, in combination with dedicated ex vivo staining protocols and/or phase contrast, is an emerging technology that makes use of three-dimensional images to provide novel insights into the structure of tissue samples at microscopic resolution with short acquisition times of the order of minutes or seconds. However, the high radiation dose creates special demands on sample preparation and staining. As a result of the lack of specific staining in virtual histology, it can supplement but not replace classical histology. Therefore, the aim of this study was to establish and compare optimized ex vivo staining and acquisition protocols for SRµCT-based virtual histology of soft-tissue samples, which could be integrated into the standard workflow of classical histology. The high grade of coherence of synchrotron radiation allows the application of propagation-based phase contrast imaging (PBI). In this study, PBI yielded a strong increase in image quality even at lower radiation doses and consequently prevented any damage to the tissue samples or the embedding material. This work has demonstrated that the improvement in contrast-to-noise ratio by PBI enabled label-free virtual histology of soft-tissue specimens embedded in paraffin to a level of detail that exceeds that achieved with staining protocols.
Keyphrases
- image quality
- computed tomography
- contrast enhanced
- soft tissue
- dual energy
- magnetic resonance
- flow cytometry
- high grade
- magnetic resonance imaging
- label free
- high resolution
- machine learning
- deep learning
- convolutional neural network
- radiation induced
- radiation therapy
- low grade
- optical coherence tomography
- air pollution
- molecularly imprinted
- fluorescence imaging