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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Main Authors Polat, Adem, Hassan, Shabir, Yildirim, Isa, Oliver, Luis Eduardo, Mostafaei, Maryam, Kumar, Siddharth, Maharjan, Sushila, Bourguet, Louis, Cao, Xia, Ying, Guoliang, Eyvazi Hesar, Milad, Zhang, Yu Shrike
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Published 12.02.2019
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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.
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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