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

Research output: Contribution to journalArticlepeer-review

140 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)020901
JournalNeurophotonics
Volume1
Issue number2
DOIs
StatePublished - Sep 22 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The work presented in this review is the result of a close collaboration between the microvision and microdiagnosis group (SCI/STI/CHD group) of EPFL with Florian Charrière, Jonas Kühn, Nicolas Pavillon, Etienne Shafer, Fatih Toy, Yann Cotte, the Laboratory of Neuroenergetics and Cellular Dynamics, Brain and Mind Institute of EPFL with Benjamin Rappaz, Pascal Jourdain, the Center for Psychiatric neuroscience, CHUV with Daniel Boss, Kaspar Rothefusser and the company Lyncée Tec SA, Lausanne (http://www.lynceetec.com). We thank the Swiss National Science Foundation (SNSF) Grant No. CR3213_132993 the National Center of competence in research Synapsy (http://www.nccr-synapsy.ch/) as well as the fondation de Préfargier.

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