Fast phase processing in off-axis holography using multiplexing with complex encoding and live-cell fluctuation map calculation in real-time

Girshovitz, Pinhas; Shaked, Natan T.

doi:10.1364/oe.23.008773

Cited by 73 publications

(66 citation statements)

References 25 publications

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“…With the availability of fast acquisition, fast tomographic processing is required for real-time visualization and decision. Regarding the computational burden, our group has recently presented efficient interferometric phase extraction algorithms, including phase unwrapping, reaching beyond video rate, even on the main processing unit of a conventional personal computer, [33,34] as well as full processing in tomographic interferometry in video-rate using the graphics processing unit (GPU) of the computer. [35] Due to its noninvasiveness and the straightforward recovery of cells after inspection, the new experimental approach presented in this paper is expected to pave the way for label-free cell sorting, monitoring cellular pathological conditions in body fluids and especially in blood, as well as for therapeutic purposes.…”

Section: Resultsmentioning

confidence: 99%

Rapid 3D Refractive‐Index Imaging of Live Cells in Suspension without Labeling Using Dielectrophoretic Cell Rotation

et al. 2016

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A major challenge in the field of optical imaging of live cells is achieving rapid, 3D, and noninvasive imaging of isolated cells without labeling. If successful, many clinical procedures involving analysis and sorting of cells drawn from body fluids, including blood, can be significantly improved. A new label‐free tomographic interferometry approach is presented. This approach provides rapid capturing of the 3D refractive‐index distribution of single cells in suspension. The cells flow in a microfluidic channel, are trapped, and then rapidly rotated by dielectrophoretic forces in a noninvasive and precise manner. Interferometric projections of the rotated cell are acquired and processed into the cellular 3D refractive‐index map. Uniquely, this approach provides full (360°) coverage of the rotation angular range around any axis, and knowledge on the viewing angle. The experimental demonstrations presented include 3D, label‐free imaging of cancer cells and three types of white blood cells. This approach is expected to be useful for label‐free cell sorting, as well as for detection and monitoring of pathological conditions resulting in cellular morphology changes or occurrence of specific cell types in blood or other body fluids.

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Section: Resultsmentioning

confidence: 99%

Rapid 3D Refractive‐Index Imaging of Live Cells in Suspension without Labeling Using Dielectrophoretic Cell Rotation

et al. 2016

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“…Here, sophisticated numerical procedures, as for example, recently reported in Ref. 48, and the integration of fast image processing hardware (49) prospect to speed up reconstruction and unwrapping procedures beyond video frequency (e.g., > 25 Hz).…”

Section: Conclusion and Future Prospectsmentioning

confidence: 99%

Quantitative phase imaging for cell culture quality control

Kastl¹,

Isbach²,

Dirksen

et al. 2017

Cytometry Pt A

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The potential of quantitative phase imaging (QPI) with digital holographic microscopy (DHM) for quantification of cell culture quality was explored. Label-free QPI of detached single cells in suspension was performed by Michelson interferometer-based self-interference DHM. Two pancreatic tumor cell lines were chosen as cellular model and analyzed for refractive index, volume, and dry mass under varying culture conditions. Firstly, adequate cell numbers for reliable statistics were identified. Then, to characterize the performance and reproducibility of the method, we compared results from independently repeated measurements and quantified the cellular response to osmolality changes of the cell culture medium. Finally, it was demonstrated that the evaluation of QPI images allows the extraction of absolute cell parameters which are related to cell layer confluence states. In summary, the results show that QPI enables label-free imaging cytometry, which provides novel complementary integral biophysical data sets for sophisticated quantification of cell culture quality with minimized sample preparation. © 2017 International Society for Advancement of Cytometry.

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“…We used a CCD camera (EPIX 643M) to record interferograms of 160 3 160 pixels at 2 kHz for 2 seconds. Digital reconstruction of the sample OPD was performed offline using MATLAB software to spatially filter one of the cross-correlation orders resulting after a digital Fourier transform of the recorded off-axis interferogram 28 light transmitted through the sample. This complex wave front contains the phase profile of the sample, which is proportional to its OPD profile.…”

Section: Experimental Systemmentioning

confidence: 99%

Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification

Blum

Shaked

2015

Light Sci Appl

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We present a new approach for predicting spatial phase signals originating from photothermally excited metallic nanoparticles of arbitrary shapes and sizes. The heat emitted from such a nanoparticle affects the measured optical phase signal via changes in both the refractive index and thickness of the nanoparticle surroundings. Because these particles can be bio-functionalized to bind certain biological cell components, they can be used for biomedical imaging with molecular specificity, as new nanoscopy labels, and for photothermal therapy. Predicting the ideal nanoparticle parameters requires a model that computes the thermal and phase distributions around the particle, thereby enabling more efficient phase imaging of plasmonic nanoparticles and avoiding trial-and-error experiments while using unsuitable nanoparticles. The proposed nonlinear model is the first to enable the prediction of phase signatures from nanoparticles with arbitrary parameters. The model is based on a finite-volume method for geometry discretization and an implicit backward Euler method for solving the transient inhomogeneous heat equation, followed by calculation of the accumulative phase signal. To validate the model, we compared its results with experimental results obtained for gold nanorods of various concentrations, which we acquired using a custom-built wide-field interferometric phase microscopy system. INTRODUCTIONPlasmonic nanoparticles are used in a variety of scientific disciplines because of their unique interactions with electromagnetic fields. Plasmonic nanoparticles are used in photonics to sense or induce changes in certain environments, thereby acting as either nanosensors or nanosources for changes in chemical, thermal, or material properties 1 . In biomedical applications, plasmonic nanoparticles can be used as labels in cells and tissues and are imaged via various effects, including photothermal (PT) imaging, photoacoustic shock-wave imaging, scattering, and polarization imaging 225 . The electromagnetic energy absorbed by a metallic nanoparticle is rapidly transformed into heat through electron-phonon relaxation; thus, nanoparticles in solution act as nanosources of heat, which can be manipulated for imaging or for destructive purposes.Several numerical models of nanoparticles have been proposed to estimate the transfer of heat from a nanoparticle submerged in a liquid to its surroundings 5-8 . These models can yield information on the processes the nanoparticles undergo on time scales or at resolutions smaller than those at which they can be measured. In addition, these models can predict the thermal distribution in the nanoparticle surroundings; thereby making it possible to explain phenomena observed when heated particles interact with other materials, particularly with biological materials that are prone to thermal damage.

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Fast phase processing in off-axis holography using multiplexing with complex encoding and live-cell fluctuation map calculation in real-time

Cited by 73 publications

References 25 publications

Rapid 3D Refractive‐Index Imaging of Live Cells in Suspension without Labeling Using Dielectrophoretic Cell Rotation

Rapid 3D Refractive‐Index Imaging of Live Cells in Suspension without Labeling Using Dielectrophoretic Cell Rotation

Quantitative phase imaging for cell culture quality control

Prediction of photothermal phase signatures from arbitrary plasmonic nanoparticles and experimental verification

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