“There has been very limited data available to inform detailed protocols for staining large specimens using diceCT. In our study, we systematically assessed the efficacy and mechanism of diffusion-based contrast-enhanced X-ray Computed Tomography (CT) with serial experiments and the validation of numerical modeling. We have applied a Diffusion-Sorption model to explain the CT contrast increasing pattern within the cranial tissues of a goose specimen over a long staining duration. We identified attributes of different tissues that affect the effective diffusion rate and staining efficacy, including partition coefficient, bulk density and tissue porosity. Based on our results, specific protocols—customized by tissue size and type—can be designed for diceCT to maximize visualization of these soft tissues contrasts.”
–Lead Author Zhiheng Li @
DiceCT 