Digital holographic microscopy for the three-dimensional dynamic analysis of in vitro cancer cell migration

Dubois, Frank; Yourassowsky, Catherine; Monnom, Olivier; Legros, Jean Claude; Debeir, Olivier; Ham, Philippe Van; Kiss, Róbert; Decaestecker, Christine

doi:10.1117/1.2357174

Cited by 169 publications

(89 citation statements)

References 29 publications

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“…DHM has been studied for applications in the field of cell biology, including automated cell counts, recognition, classification, three-dimensional tracking, and discrimination between physiological and pathophysiological states [25][26][27][28][29][30][31][32]. Briefly, DHM [20-23] is a label-free interferometric microscopy technique which provides a quantitative measurement of the optical path length.…”

Section: Label-free Digital Holographic Imagingmentioning

confidence: 99%

Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy

Rappaz¹,

Moon²,

Yi³

et al. 2015

Opt. Express

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Abstract:Compounds tested during drug development may have adverse effects on the heart; therefore all new chemical entities have to undergo extensive preclinical assessment for cardiac liability. Conventional intensity-based imaging techniques are not robust enough to provide detailed information for cell structure and the captured images result in lowcontrast, especially to cell with semi-transparent or transparent feature, which would affect the cell analysis. In this paper we show, for the first time, that digital holographic microscopy (DHM) integrated with information processing algorithms automatically provide dynamic quantitative phase profiles of beating cardiomyocytes. We experimentally demonstrate that relevant parameters of cardiomyocytes can be obtained by our automated algorithm based on DHM phase signal analysis and used to characterize the physiological state of resting cardiomyocytes. Our study opens the possibility of automated quantitative analysis of cardiomyocyte dynamics suitable for further drug safety testing and compounds selection as a new paradigm in drug toxicity screens.

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Section: Label-free Digital Holographic Imagingmentioning

confidence: 99%

Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy

Rappaz¹,

Moon²,

Yi³

et al. 2015

Opt. Express

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“…The earliest studies show fibroblast migration (Mann et al, 2006). Another early study utilized the 3-D ability of DHM to develop a method to follow cancer cell migration in in vivo-like circumstances (Dubois et al, 2006). The in vivo-like 3-D environment was created by using matrix gels.…”

Section: Cell Migration and Motility Studiesmentioning

confidence: 99%

Digital Holography and Cell Studies

Alm¹,

Cirenajwis²,

Gisselsson³

et al. 2011

Holography, Research and Technologies

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“…This reconstruction is straightforward if an off-axis setup is applied [9,10]. From the reconstructed complex wave field of a given object, the apparent thickness and shape and their changes become measureable with subwavelength accuracy [11,12].…”

Section: Introductionmentioning

confidence: 99%

In-line hologram segmentation for volumetric samples

et al. 2012

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We propose a fast, noniterative method to segment an in-line hologram of a volumetric sample into in-line subholograms according to its constituent objects. In contrast to the phase retrieval or twin image elimination algorithms, we do not aim or require to reconstruct the complex wave field of all the objects, which would be a more complex task, but only provide a good estimate about the contribution of the particular objects to the original hologram quickly. The introduced hologram segmentation algorithm exploits the special inner structure of the in-line holograms and applies only the estimated supports and reconstruction distances of the corresponding objects as parameters. The performance of the proposed method is demonstrated and analyzed experimentally both on synthetic and measured holograms. We discussed how the proposed algorithm can be efficiently applied for object reconstruction and phase retrieval tasks.

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Digital holographic microscopy for the three-dimensional dynamic analysis of in vitro cancer cell migration

Cited by 169 publications

References 29 publications

Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy

Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy

Digital Holography and Cell Studies

In-line hologram segmentation for volumetric samples

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