4.8 Article

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

期刊

ACS NANO
卷 16, 期 8, 页码 11516-11544

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.1c11507

关键词

microscopy; quantitative phase imaging; holography; tomography; interferometry; phase retrieval; diagnostics; biophysics

资金

  1. Whitcome Predoctoral Training Program
  2. UCLA Molecular Biology Institute
  3. NIH [R21CA227480, R01 GM 114188, R01CA185189, P30CA016042, CA246182]
  4. NIH-NCI Cancer Center Support grant [P30 CA016059]
  5. University of Utah Office of the Vice President for Research
  6. University of Utah Office of the Assistant Secretary of Defense for Health Affairs through the Breast Cancer Research Program [W81XWH1910065]
  7. C. Kenneth and Dianne Wright Center for Clinical and Translational Research
  8. U.S. Department of Defense (DOD) [W81XWH1910065] Funding Source: U.S. Department of Defense (DOD)

向作者/读者索取更多资源

Quantitative phase imaging (QPI) is a label-free, wide-field microscopy technique with significant applications in biomedical research. It quantifies biomass distribution and changes by measuring the natural phase shift of light passing through a transparent object. QPI has been used to study cell size, morphology, behavior, drug efficacy, and more, supporting research in development, physiology, neural activity, cancer, and other fields.
Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.

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