Moore Michael J, Jabbari Esmaiel, Ritman Erik L, Lu Lichun, Currier Bradford L, Windebank Anthony J, Yaszemski Michael J
Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
J Biomed Mater Res A. 2004 Nov 1;71(2):258-67. doi: 10.1002/jbm.a.30138.
Pore interconnectivity within scaffolds is an important parameter influencing cell migration and tissue ingrowth needed to promote tissue regeneration. Methods for assessment of interconnectivity are usually qualitative, restricted to two-dimensional images, or are destructive. Microcomputed tomography nondestructively provides three-dimensional (3D) images of intact specimens at high spatial resolutions. We describe an image analysis technique for quantitative assessment of scaffold interconnectivity. Scaffolds were made via a particulate leaching process with 75%, 80%, 85%, and 88% volumetric porogen fractions. Specimens were scanned and resulting 3D, digital images were analyzed with a custom algorithm. A series of virtual, idealized scaffolds were also created for illustration of the algorithm's analysis approach and for its validation. The program calculated accessible void fractions over a range of minimum connection sizes. In real specimens, nearly 100% of the porous volume was connected with outside air for connections greater than or equal to 20 microm in their smallest dimension. In scaffolds made with 75% porogen, the accessible void fraction decreased to 78% if only those connections greater than or equal to 260 microm were considered. The relationship between accessible void fraction and connection size varied as a function of porogen content. The interconnectivity parameter described here may have implications for cell migration and tissue growth into scaffolds.
支架内的孔隙连通性是影响细胞迁移和组织向内生长的重要参数,而细胞迁移和组织向内生长对于促进组织再生至关重要。连通性的评估方法通常是定性的,仅限于二维图像,或者具有破坏性。微计算机断层扫描能够以高空间分辨率无损地提供完整标本的三维(3D)图像。我们描述了一种用于定量评估支架连通性的图像分析技术。通过颗粒沥滤法制备了孔隙率分别为75%、80%、85%和88%的支架。对标本进行扫描,并使用自定义算法分析所得的3D数字图像。还创建了一系列虚拟的理想化支架,以说明该算法的分析方法并对其进行验证。该程序计算了一系列最小连接尺寸范围内的可及孔隙率。在实际标本中,对于最小尺寸大于或等于20微米的连接,几乎100%的多孔体积与外部空气相连。在孔隙率为75%的支架中,如果仅考虑那些大于或等于260微米的连接,可及孔隙率会降至78%。可及孔隙率与连接尺寸之间的关系随致孔剂含量的变化而变化。这里描述的连通性参数可能对细胞迁移和组织向支架内生长有影响。