Literature DB >> 27420569

Lensless Imaging and Sensing.

Aydogan Ozcan1,2,3, Euan McLeod4.   

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.

Keywords:  3D imaging; holography; lab-on-chip; microscopy; phase recovery

Mesh:

Year:  2016        PMID: 27420569     DOI: 10.1146/annurev-bioeng-092515-010849

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  30 in total

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Journal:  Biomed Opt Express       Date:  2020-11-18       Impact factor: 3.732

2.  Optics-free imaging of complex, non-sparse and color QR-codes with deep neural networks.

Authors:  Soren Nelson; Evan Scullion; Rajesh Menon
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3.  Ultra-high speed digital micro-mirror device based ptychographic iterative engine method.

Authors:  Aihui Sun; Xiaoliang He; Yan Kong; Haoyang Cui; Xiaojun Song; Liang Xue; Shouyu Wang; Cheng Liu
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4.  Multispectral total-variation reconstruction applied to lens-free microscopy.

Authors:  L Herve; O Cioni; P Blandin; F Navarro; M Menneteau; T Bordy; S Morales; C Allier
Journal:  Biomed Opt Express       Date:  2018-10-30       Impact factor: 3.732

5.  3D computational cannula fluorescence microscopy enabled by artificial neural networks.

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Journal:  Opt Express       Date:  2020-10-26       Impact factor: 3.894

Review 6.  Microfluidics for sperm analysis and selection.

Authors:  Reza Nosrati; Percival J Graham; Biao Zhang; Jason Riordon; Alexander Lagunov; Thomas G Hannam; Carlos Escobedo; Keith Jarvi; David Sinton
Journal:  Nat Rev Urol       Date:  2017-10-31       Impact factor: 14.432

7.  Computational Sensing of Staphylococcus aureus on Contact Lenses Using 3D Imaging of Curved Surfaces and Machine Learning.

Authors:  Muhammed Veli; Aydogan Ozcan
Journal:  ACS Nano       Date:  2018-03-13       Impact factor: 15.881

8.  Biosensors for Personal Mobile Health: A System Architecture Perspective.

Authors:  Siddarth Arumugam; David A M Colburn; Samuel K Sia
Journal:  Adv Mater Technol       Date:  2019-11-20

9.  Design, Development, and Performance Comparison of Wide Field Lensless and Lens-Based Optical Systems for Point-of-Care Biological Applications.

Authors:  Robert D Fennell; Mazhar Sher; Waseem Asghar
Journal:  Opt Lasers Eng       Date:  2020-08-16       Impact factor: 4.836

10.  Pursuing the Diffraction Limit with Nano-LED Scanning Transmission Optical Microscopy.

Authors:  Sergio Moreno; Joan Canals; Victor Moro; Nil Franch; Anna Vilà; Albert Romano-Rodriguez; Joan Daniel Prades; Daria D Bezshlyakh; Andreas Waag; Katarzyna Kluczyk-Korch; Matthias Auf der Maur; Aldo Di Carlo; Sigurd Krieger; Silvana Geleff; Angel Diéguez
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

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