Suppr超能文献

使用微型计算机断层扫描对多孔可生物降解支架的互连性进行定量分析。

Quantitative analysis of interconnectivity of porous biodegradable scaffolds with micro-computed tomography.

作者信息

Moore Michael J, Jabbari Esmaiel, Ritman Erik L, Lu Lichun, Currier Bradford L, Windebank Anthony J, Yaszemski Michael J

机构信息

Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.

出版信息

J Biomed Mater Res A. 2004 Nov 1;71(2):258-67. doi: 10.1002/jbm.a.30138.

Abstract

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.

摘要

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。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验