Dynamic quantitative phase imaging for biological objects using a pixelated phase mask

Creath, Katherine; Goldstein, Goldie

doi:10.1364/boe.3.002866

Cited by 74 publications

(40 citation statements)

References 27 publications

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“…Also, sample phase is extracted and unwrapped using standard Goldstein algorithm [31], and then converted to OPL using corresponding wavelength at each position. Finally, background variation is removed by Zernike polynomial subtraction [32].…”

Section: Spectral Modulation Interferometrymentioning

confidence: 99%

Spectral modulation interferometry for quantitative phase imaging

Shang

Chen

et al. 2015

Biomed. Opt. Express

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Abstract:We propose a spectral-domain interferometric technique, termed spectral modulation interferometry (SMI), and present its application to high-sensitivity, high-speed, and speckle-free quantitative phase imaging. In SMI, one-dimensional complex field of an object is interferometrically modulated onto a broadband spectrum. Full-field phase and intensity images are obtained by scanning along the orthogonal direction. SMI integrates the high sensitivity of spectral-domain interferometry with the high speed of spectral modulation to quantify fast phase dynamics, and its dispersive and confocal nature eliminates laser speckles. The principle and implementation of SMI are discussed. Its performance is evaluated using static and dynamic objects.

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Section: Spectral Modulation Interferometrymentioning

confidence: 99%

Spectral modulation interferometry for quantitative phase imaging

Shang

Chen

et al. 2015

Biomed. Opt. Express

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“…The design of this microscope has been described previously and more detail can be found in the literature. [4]…”

Section: Introductionmentioning

confidence: 99%

Quantitative phase microscopy: how to make phase data meaningful

Goldstein

Creath

2014

SPIE Proceedings

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The continued development of hardware and associated image processing techniques for quantitative phase microscopy has allowed superior phase data to be acquired that readily shows dynamic optical volume changes and enables particle tracking. Recent efforts have focused on tying phase data and associated metrics to cell morphology. One challenge in measuring biological objects using interferometrically obtained phase information is achieving consistent phase unwrapping and -dimensions and correct for temporal discrepanices using a temporal unwrapping procedure. The residual background shape due to mean value fluctuations and residual tilts can be removed automatically using a simple object characterization algorithm. Once the phase data are processed consistently, it is then possible to characterize biological samples such as myocytes and myoblasts in terms of their size, texture and optical volume and track those features dynamically. By observing optical volume dynamically it is possible to determine the presence of objects such as vesicles within myoblasts even when they are co-located with other objects. Quantitative phase microscopy provides a label-free mechanism to characterize living cells and their morphology in dynamic environments, however it is critical to connect the measured phase to important biological function for this measurement modality to prove useful to a broader scientific community. In order to do so, results must be highly consistent and require little to no user manipulation to achieve high quality nynerical results that can be combined with other imaging modalities.

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“…Second, dynamically changing scenes cannot be imaged without producing serious errors since the phase shifting requires time. Third, industrial rapid process control procedures are severely slowed down because for each frame of the sample field, four (minimum three) snapshots must be made in order to reconstruct the 3D morphology.3D imaging of dynamically changing scenes is important in deformation analysis [12] and in various biological applications such as red blood cell dynamics [13], flow cytometry, tissue dynamics, cell migration tracking, and histology [14][15][16]. Moreover, ultra-high-speed 3D process control for wafer defects and flatness inspection is becoming a very important matter due to the semiconductor industry switch from 300 to 450 mm wafers, which require much faster metrology.…”

mentioning

confidence: 99%

“…3D imaging of dynamically changing scenes is important in deformation analysis [12] and in various biological applications such as red blood cell dynamics [13], flow cytometry, tissue dynamics, cell migration tracking, and histology [14][15][16]. Moreover, ultra-high-speed 3D process control for wafer defects and flatness inspection is becoming a very important matter due to the semiconductor industry switch from 300 to 450 mm wafers, which require much faster metrology.…”

mentioning

confidence: 99%

Real-time phase shift interference microscopy

Safrani

Abdulhalim

2014

Opt. Lett.

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A real-time phase shift interference microscopy system is presented using a polarization-based Linnik interferometer operating with three synchronized, phase-masked, parallel detectors. Using this method, several important applications that require high speed and accuracy, such as dynamic focusing control, tilt measurement, submicrometer roughness measurement, and 3D profiling of fine structures, are demonstrated in 50 volumes per second and with 2 nm height repeatability.

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Dynamic quantitative phase imaging for biological objects using a pixelated phase mask

Cited by 74 publications

References 27 publications

Spectral modulation interferometry for quantitative phase imaging

Spectral modulation interferometry for quantitative phase imaging

Quantitative phase microscopy: how to make phase data meaningful

Real-time phase shift interference microscopy

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