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22 September 2014 Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders
Pierre Marquet, Christian Depeursinge, Pierre J. Magistretti
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Funded by: Swiss National Science Foundation (SNSF)
Neurophotonics, Vol. 1, Issue 2, 020901 (September 2014). https://doi.org/10.1117/1.NPh.1.2.020901
Abstract
Quantitative phase microscopy (QPM) has recently emerged as a new powerful quantitative imaging technique well suited to noninvasively explore a transparent specimen with a nanometric axial sensitivity. In this review, we expose the recent developments of quantitative phase-digital holographic microscopy (QP-DHM). Quantitative phase-digital holographic microscopy (QP-DHM) represents an important and efficient quantitative phase method to explore cell structure and dynamics. In a second part, the most relevant QPM applications in the field of cell biology are summarized. A particular emphasis is placed on the original biological information, which can be derived from the quantitative phase signal. In a third part, recent applications obtained, with QP-DHM in the field of cellular neuroscience, namely the possibility to optically resolve neuronal network activity and spine dynamics, are presented. Furthermore, potential applications of QPM related to psychiatry through the identification of new and original cell biomarkers that, when combined with a range of other biomarkers, could significantly contribute to the determination of high risk developmental trajectories for psychiatric disorders, are discussed.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Pierre Marquet, Christian Depeursinge, and Pierre J. Magistretti "Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders," Neurophotonics 1(2), 020901 (22 September 2014). https://doi.org/10.1117/1.NPh.1.2.020901
Published: 22 September 2014
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Cited by 140 scholarly publications and 8 patents.
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KEYWORDS
Microscopy
Holography
Holograms
Digital holography
Spine
Wavefronts
3D image reconstruction
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