A fully automated approach to quantitatively determine thickness of tissue-engineered cell sheets.
A fully automated approach to quantitatively determine thickness of tissue-engineered cell sheets.
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DOI：
10.1007/s10439-009-9694-1
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发表时间：
2009-07
影响因子：
3.8
通讯作者：
Haidekker, Mark A.
中科院分区：
文献类型：
--
作者：
LaCroix, Jeffrey T.;Xia, Jinjun;Haidekker, Mark A.
关键词：
基于片材的组织工程是一个创新领域，为科学界提供了新的组织工程产品，如皮肤，角膜，心脏瓣膜和血管移植物。随着组织工程向临床应用的发展，质量控制变得越来越重要。成像方法因其高分辨率和良好的组织-流体对比度而广受欢迎。我们提出并比较了两种方法，一种是基于定制设计的自动化大面积共焦扫描仪，使用后向散射光成像，一种是基于光学相干断层扫描（OCT）。在这两种模式中，额外的图像处理用于提取片材厚度和密度信息，并以全自动方式创建定量组织厚度图。在测试对象（已知厚度的玻璃和散射样品）和人工引入缺陷的工程组织片中，我们发现两种方法在测量厚度和缺陷的视觉表示方面高度一致。OCT和共聚焦扫描仪都能够提供高细节图像，视觉上与明场显微镜获得的图像一致。OCT和大面积共聚焦扫描结合专门的图像处理算法，有望以无人监督的方式提供组织均匀性，密度和组织片中存在的潜在缺陷的信息，从而帮助建立基于片的组织工程的新质量控制方法。
Sheet-based tissue engineering is an innovative field that has provided the scientific community with new tissue-engineered products such as skin, cornea, heart valves, and vascular grafts. As this area of tissue engineering progresses towards clinical implementation, quality control becomes more and more important. Imaging methods advertise themselves because of their high resolution and good tissue-fluid contrast. We present and compare two methods, one based on a custom-designed automatized large-area confocal scanner that uses backscattered light for image formation, and one based on optical coherence tomography (OCT). In both modalities, additional image processing is used to extract sheet thickness and density information and to create a quantitative tissue thickness map in a fully automated fashion. In test objects (glass of known thickness and scattering samples) and engineered tissue sheets with artificially introduced defects we found high agreement between the two methods in the measurement of thickness and the visual representation of the defects. Both the OCT and the confocal scanner were able to provide high-detail images visually consistent to those obtained with brightfield microscopy. Both OCT and large-area confocal scanning in combination with specialized image processing algorithms promise to provide information on tissue homogeneity, density, and the presence of potential defects in tissue sheets in an unsupervised fashion and thus help establish new quality control methods in sheet-based tissue engineering.
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影响因子：
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