The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Quantitative phase imaging in biomedicine
Open accessAbstract
Quantitative phase imaging (QPI) has emerged as a valuable method for investigating cells and tissues. QPI operates on unlabelled specimens and, as such, is complementary to established fluorescence microscopy, exhibiting lower phototoxicity and no photobleaching. As the images represent quantitative maps of optical path length delays introduced by the specimen, QPI provides an objective measure of morphology and dynamics, free of variability due to contrast agents. Owing to the tremendous progress witnessed especially in the past 10–15 years, a number of technologies have become sufficiently reliable and translated to biomedical laboratories. Commercialization efforts are under way and, as a result, the QPI field is now transitioning from a technology-development-driven to an application-focused field. In this Review, we aim to provide a critical and objective overview of this dynamic research field by presenting the scientific context, main principles of operation and current biomedical applications. Over the past 10–15 years, quantitative phase imaging has moved from a research-driven to an application-focused field. This Review presents the main principles of operation and representative basic and clinical science applications.
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Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light
Born, M., Wolf, E., Bhatia, A. B., Clemmow, P. C., Gabor, D., Stokes, A. R., Taylor, A. M., Wayman, P. A., & Wilcock, W. L. (1999) · doi:10.1017/cbo9781139644181 · Cited by 26,290
Super-resolution fluorescence microscopy
Huang, B., Bates, M., & Zhuang, X. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.77.061906.092014 · Cited by 1,657
Image analysis and machine learning in digital pathology: challenges and opportunities
Madabhushi, A., & Lee, G. (2016) · Medical Image Analysis · doi:10.1016/j.media.2016.06.037 · Cited by 1,093
Cited by
Methods to quantify biological contaminants in microalgae cultures
Di Caprio, F. (2020) · Algal Research · doi:10.1016/j.algal.2020.101943 · Cited by 87
Kimura, H., Nakamura, H., Goto, T., Uchida, W., Uozumi, T., Nishizawa, D., Shinha, K., Sakagami, J., & Doi, K. (2024) · Lab on a Chip · doi:10.1039/d3lc00934c · Cited by 20
Liu, Y., Cui, W., Jiang, Z., Zhou, C., & Ma, Y. (2025) · Optics Express · doi:10.1364/oe.568962 · Cited by 1
Cell-TIMP: Cellular Trajectory Inference Based on Morphological Parameters
Raj, P., Gupta, H., Anantha, P., & Barman, I. (2025) · Nano Letters · doi:10.1021/acs.nanolett.5c01009 · Cited by 1
Metadata
- Authors
- Park, Y., Depeursinge, C., & Popescu, G.
- Venue
- Nature Photonics
- Published
- 2018-09-27
- Volume
- 12
- Issue
- 10
- Pages
- 578-589
- ISSN
- 1749-4885 (ISSN-L)
- 1749-4893
- OpenAlex
- W2892479404
- Cited by
- 1,802
- References
- 3
- FWCI
- 58.42
- Type
- journal article
- Language
- en
- Open access
- green
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