Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne St, Cambridge, MA 02139, USA.
Lab Chip. 2019 Feb 12;19(4):550-561. doi: 10.1039/c8lc01190g.
Volumetric optical microscopy approaches that enable acquisition of three-dimensional (3D) information from a biological sample are attractive for numerous non-invasive imaging applications. The unprecedented structural details that these techniques provide have helped in our understanding of different aspects of architecture of cells, tissues, and organ systems as they occur in their natural states. Nonetheless, the instrumentation for most of these techniques is sophisticated, bulky, and costly, and is less affordable to most laboratory settings. Several miniature imagers based on webcams or low-cost sensors featuring easy assembly have been reported, for in situ imaging of biological structures at low costs. However, they have not been able to achieve the ability of 3D imaging throughout the entire volumes for spatiotemporal analyses of the structural changes in these specimens. Here we present a miniaturized optical tomography (mini-Opto) platform for low-cost, volumetric characterization of engineered living systems through hardware optimizations as well as applications of an optimized algebraic algorithm for image reconstruction.
容积光学显微镜方法能够从生物样本中获取三维（3D）信息，因此在众多非侵入性成像应用中具有吸引力。这些技术提供的前所未有的结构细节帮助我们理解了在其自然状态下细胞、组织和器官系统不同方面的结构。尽管如此，大多数这些技术的仪器复杂、庞大且昂贵，大多数实验室环境都难以承担。已经有一些基于网络摄像头或低成本传感器的微型成像仪被报道，用于以低成本对生物结构进行原位成像。然而，它们还没有能够实现 3D 成像的能力，无法对这些样本的结构变化进行整个体积的时空分析。在这里，我们提出了一种微型光学层析成像（mini-Opto）平台，通过硬件优化以及优化的代数算法在图像重建中的应用，实现了低成本、容积工程化活细胞系统的特征描述。
