4.7 Article

Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring

Journal

METHODS
Volume 136, Issue -, Pages 4-16

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymeth.2017.08.013

Keywords

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Funding

  1. Presidential Early Career Award for Scientists and Engineers (PECASE)
  2. Army Research Office (ARO) [W911NF-13-1-0419, W911NF-13-1-0197]
  3. ARO Life Sciences Division
  4. National Science Foundation (NSF) CBET Division Biophotonics Program
  5. NSF Emerging Frontiers in Research and Innovation (EFRI) Award
  6. NSF EAGER Award
  7. NSF INSPIRE Award
  8. NSF Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) Program, Office of Naval Research (ONR)
  9. National Institutes of Health (NIH)
  10. Howard Hughes Medical Institute (HHMI), Vodafone Americas Foundation
  11. Mary Kay Foundation
  12. Steven AMP
  13. Alexandra Cohen Foundation
  14. KAUST
  15. National Science Foundation [0963183]
  16. American Recovery and Reinvestment Act (ARRA)
  17. Vodafone Americas Foundation
  18. Div Of Industrial Innovation & Partnersh
  19. Directorate For Engineering [1533983] Funding Source: National Science Foundation

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Optical compound microscope has been a major tool in biomedical imaging for centuries. Its performance relies on relatively complicated, bulky and expensive lenses and alignment mechanics. In contrast, the lensless microscope digitally reconstructs microscopic images of specimens without using any lenses, as a result of which it can be made much smaller, lighter and lower-cost. Furthermore, the limited space-bandwidth product of objective lenses in a conventional microscope can be significantly surpassed by a lensless microscope. Such lensless imaging designs have enabled high-resolution and high throughput imaging of specimens using compact, portable and cost-effective devices to potentially address various point-of-care, global-health and telemedicine related challenges. In this review, we discuss the operation principles and the methods behind lensless digital holographic on-chip microscopy. We also go over various applications that are enabled by cost-effective and compact implementations of lensless microscopy, including some recent work on air quality monitoring, which utilized machine learning for high-throughput and accurate quantification of particulate matter in air. Finally, we conclude with a brief future outlook of this computational imaging technology. (C) 2017 Elsevier Inc. All rights reserved.

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