Quantitative phase-digital holographic microscopy: a new imaging modality to identify original cellular biomarkers of diseases

P. Marquet, K. Rothenfusser, B. Rappaz, Christian Depeursinge, P. Jourdain, Pierre J. Magistretti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Quantitative phase microscopy (QPM) has recently emerged as a powerful label-free technique in the field of living cell imaging allowing to non-invasively measure with a nanometric axial sensitivity cell structure and dynamics. Since the phase retardation of a light wave when transmitted through the observed cells, namely the quantitative phase signal (QPS), is sensitive to both cellular thickness and intracellular refractive index related to the cellular content, its accurate analysis allows to derive various cell parameters and monitor specific cell processes, which are very likely to identify new cell biomarkers. Specifically, quantitative phase-digital holographic microscopy (QP-DHM), thanks to its numerical flexibility facilitating parallelization and automation processes, represents an appealing imaging modality to both identify original cellular biomarkers of diseases as well to explore the underlying pathophysiological processes.
Original languageEnglish (US)
Title of host publicationQuantitative Phase Imaging II
PublisherSPIE-Intl Soc Optical Eng
ISBN (Print)9781628419528
DOIs
StatePublished - May 3 2016

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, Etienne Shaffer, and Christian Depeursinge, the Laboratory of Neuroenergetics and Cellular Dynamics, Brain and Mind Institute of EPFL with Pierre Magistretti, Benjamin Rappaz, Pascal Jourdain, the Center for Psychiatric neuroscience, CHUV with Daniel Boss, Kaspar Rothenfusser and the company Lyncée Tec SA, Lausanne (http://www.lynceetec.com). We thank the Swiss National Science Foundation (SNSF) grants n° 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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