Sachse Frank B, Savio-Galimberti Eleonora, Goldhaber Joshua I, Bridge John H B
Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, UT 84112, USA.
Pac Symp Biocomput. 2008:390-401.
We describe an approach to develop anatomical models of cardiac cells. The approach is based on confocal imaging of living ventricular myocytes with submicrometer resolution, digital image processing of three-dimensional stacks with high data volume, and generation of dense triangular surface meshes representing the sarcolemma including the transverse tubular system. The image processing includes methods for deconvolution, filtering and segmentation. We introduce and visualize models of the sarcolemma of whole ventricular myocytes and single transversal tubules. These models can be applied for computational studies of cell and sub-cellular physical behavior and physiology, in particular cell signaling. Furthermore, the approach is applicable for studying effects of cardiac development, aging and diseases, which are associated with changes of cell anatomy and protein distributions.
我们描述了一种开发心肌细胞解剖模型的方法。该方法基于对活的心室肌细胞进行亚微米分辨率的共聚焦成像、对高数据量的三维堆栈进行数字图像处理，以及生成代表包括横管系统在内的肌膜的密集三角形表面网格。图像处理包括去卷积、滤波和分割方法。我们引入并可视化了全心室肌细胞和单个横管的肌膜模型。这些模型可应用于细胞和亚细胞物理行为及生理学的计算研究，特别是细胞信号传导。此外，该方法适用于研究与细胞解剖结构和蛋白质分布变化相关的心脏发育、衰老和疾病的影响。
