Raspanti Mario, Binaghi Elisabetta, Gallo Ignazio, Manelli Alessandro
Department of Human Morphology, Insubria University, 21100 Varese, Italy.
Microsc Res Tech. 2005 May;67(1):1-7. doi: 10.1002/jemt.20176.
High-resolution, detailed 3D reconstructions of biological specimens obtained from scanning electron microscopy stereo-micrographs and proprietary software were compared with Tapping-Mode AFM datasets of the same fields. The reconstruction software implements several original solutions including a neural adaptive point-matching technique, the ability to build an irregular triangulated mesh rather than a regular orthogonal grid, and the ability to re-map one of the original images exactly onto the reconstructed surface. The technique was applied to human nerve tissue to obtain 1,424 x 968-pixel, texture-mapped datasets, which were subsequently compared against 512 x 512-pixel AFM datasets from the same viewfields. Accounting for the inherent differences of the two techniques, direct comparison revealed an excellent visual match. The correspondence was also quantified by calculating the cross-correlation coefficient between corresponding altimetric profiles in SEM and AFM data, which consistently exceeded a figure of 0.9, with a rate of point mismatch in the order of 0.01%. Research is still underway to improve the robustness of the technique when applied to arbitrary images
将通过扫描电子显微镜立体显微照片和专有软件获得的生物标本的高分辨率、详细三维重建结果与相同视野的轻敲模式原子力显微镜数据集进行了比较。该重建软件实现了多种原创解决方案，包括神经自适应点匹配技术、构建不规则三角网格而非规则正交网格的能力，以及将原始图像之一精确重新映射到重建表面的能力。该技术应用于人体神经组织，以获得1424×968像素的纹理映射数据集，随后将其与来自相同视野的512×512像素原子力显微镜数据集进行比较。考虑到这两种技术的固有差异，直接比较显示出极佳的视觉匹配效果。还通过计算扫描电子显微镜和原子力显微镜数据中相应高度轮廓之间的互相关系数来量化对应关系，该系数始终超过0.9，点不匹配率约为0.01%。目前仍在进行研究，以提高该技术应用于任意图像时的稳健性。
