A miniaturized optical tomography platform for volumetric imaging of engineered living systemsElectronic supplementary information (ESI) available. See 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 differ...
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Abstract | 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.
Volumetric optical microscopy approaches that enable acquisition of three-dimensional (3D) information from a biological sample are attractive for numerous non-invasive imaging applications. |
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AbstractList | 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.
Volumetric optical microscopy approaches that enable acquisition of three-dimensional (3D) information from a biological sample are attractive for numerous non-invasive imaging applications. |
Author | Maharjan, Sushila Ying, Guoliang Eyvazi Hesar, Milad Polat, Adem Hassan, Shabir Bourguet, Louis Yildirim, Isa Kumar, Siddharth Cao, Xia Oliver, Luis Eduardo Mostafaei, Maryam Zhang, Yu Shrike |
AuthorAffiliation | MAS Medical Physics BITS Pilani Department of Electrical and Electronics Engineering College of Engineering School of Materials Science and Engineering Istanbul Technical University Institute of Materials in Electrical Engineering 1 (IWE1) Brigham and Women's Hospital ETH Zurich K. K. Birla Goa Campus Department of Medicine Research Institute for Bioscience and Biotechnology Jiangsu University Department of Physics Adana Science and Technology University Division of Engineering in Medicine Institute of Informatics Department of Pharmaceutics and Tissue Engineering Harvard Medical School Faculty of Electrical and Electronics Engineering School of Pharmacy Wuhan Institute of Technology RWTH Aachen University University of Illinois |
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