Lensless Imaging and Sensing
High-resolution optical microscopy has traditionally relied on high-magnification and high-numerical aperture objective lenses. In contrast, lensless microscopy can provide high-resolution images without the use of any focusing lenses, offering the advantages of a large field of view, high resolutio...
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Published in | Annual review of biomedical engineering Vol. 18; p. 77 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
11.07.2016
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Abstract | High-resolution optical microscopy has traditionally relied on high-magnification and high-numerical aperture objective lenses. In contrast, lensless microscopy can provide high-resolution images without the use of any focusing lenses, offering the advantages of a large field of view, high resolution, cost-effectiveness, portability, and depth-resolved three-dimensional (3D) imaging. Here we review various approaches to lensless imaging, as well as its applications in biosensing, diagnostics, and cytometry. These approaches include shadow imaging, fluorescence, holography, superresolution 3D imaging, iterative phase recovery, and color imaging. These approaches share a reliance on computational techniques, which are typically necessary to reconstruct meaningful images from the raw data captured by digital image sensors. When these approaches are combined with physical innovations in sample preparation and fabrication, lensless imaging can be used to image and sense cells, viruses, nanoparticles, and biomolecules. We conclude by discussing several ways in which lensless imaging and sensing might develop in the near future. |
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AbstractList | High-resolution optical microscopy has traditionally relied on high-magnification and high-numerical aperture objective lenses. In contrast, lensless microscopy can provide high-resolution images without the use of any focusing lenses, offering the advantages of a large field of view, high resolution, cost-effectiveness, portability, and depth-resolved three-dimensional (3D) imaging. Here we review various approaches to lensless imaging, as well as its applications in biosensing, diagnostics, and cytometry. These approaches include shadow imaging, fluorescence, holography, superresolution 3D imaging, iterative phase recovery, and color imaging. These approaches share a reliance on computational techniques, which are typically necessary to reconstruct meaningful images from the raw data captured by digital image sensors. When these approaches are combined with physical innovations in sample preparation and fabrication, lensless imaging can be used to image and sense cells, viruses, nanoparticles, and biomolecules. We conclude by discussing several ways in which lensless imaging and sensing might develop in the near future. |
Author | Ozcan, Aydogan McLeod, Euan |
Author_xml | – sequence: 1 givenname: Aydogan surname: Ozcan fullname: Ozcan, Aydogan email: ozcan@ucla.edu organization: California NanoSystems Institute, University of California, Los Angeles, California 90095; email: ozcan@ucla.edu – sequence: 2 givenname: Euan surname: McLeod fullname: McLeod, Euan email: euanmc@optics.arizona.edu organization: College of Optical Sciences, University of Arizona, Tucson, Arizona 85721; email: euanmc@optics.arizona.edu |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27420569$$D View this record in MEDLINE/PubMed |
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SubjectTerms | Colorimetry - instrumentation Equipment Design Holography - instrumentation Image Enhancement - instrumentation Lenses Microscopy - instrumentation Optical Imaging - instrumentation Signal Processing, Computer-Assisted - instrumentation |
Title | Lensless Imaging and Sensing |
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