Savatović Sara, Laundon Davis, De Marco Fabio, Riedel Mirko, Hammel Jörg U, Busse Madleen, Salomé Murielle, Pascolo Lorella, Zanette Irene, Lewis Rohan M, Herzen Julia, Thibault Pierre
Munich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Research Group Biomedical Imaging Physics, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Sci Rep. 2025 Jan 16;15(1):2131. doi: 10.1038/s41598-025-85105-z.
Phase-contrast micro-tomography ([Formula: see text]CT) with synchrotron radiation can aid in the differentiation of subtle density variations in weakly absorbing soft tissue specimens. Modulation-based imaging (MBI) extracts phase information from the distortion of reference patterns, generated by periodic or randomly structured wavefront markers (e.g., gratings or sandpaper). The two approaches have already found application for the virtual inspection of biological samples. Here, we perform high-resolution [Formula: see text]CT scans of an unstained human placenta specimen, using MBI with both a 2D grating and sandpaper as modulators, as well as conventional propagation-based imaging (PBI). The 3D virtual representation of placenta offers a valuable tool for analysing its intricate branching villous network and vascular structure, providing new insights into its complex architecture. Within this study, we assess reconstruction quality achieved with all three evaluated phase-contrast methods. Both MBI datasets are processed with the Unified Modulated Pattern Analysis (UMPA) model, a pattern-matching algorithm. In order to evaluate the benefits and suitability of MBI for virtual histology, we discuss how the complexities of the technique influence image quality and correlate the obtained volumes to 2D techniques, such as conventional histology and X-ray fluorescence (XRF) elemental maps.
同步辐射相衬显微断层扫描(μCT)有助于区分弱吸收软组织标本中细微的密度变化。基于调制的成像(MBI)从由周期性或随机结构的波前标记(如光栅或砂纸)产生的参考图案的畸变中提取相位信息。这两种方法已在生物样品的虚拟检测中得到应用。在此,我们使用二维光栅和砂纸作为调制器的MBI以及传统的基于传播的成像(PBI),对未染色的人胎盘标本进行高分辨率μCT扫描。胎盘的三维虚拟表示为分析其复杂的分支绒毛网络和血管结构提供了一个有价值的工具,为其复杂结构提供了新的见解。在本研究中,我们评估了所有三种评估的相衬方法所实现的重建质量。两个MBI数据集都使用统一调制图案分析(UMPA)模型进行处理,这是一种图案匹配算法。为了评估MBI在虚拟组织学中的优势和适用性,我们讨论了该技术的复杂性如何影响图像质量,并将获得的体积与二维技术(如传统组织学和X射线荧光(XRF)元素图)相关联。