Non-interferometric, non-iterative phase retrieval by Green’s functions

Frank, Johannes; Altmeyer, Stefan; Wernicke, Guenther K.G.

doi:10.1364/josaa.27.002244

Cited by 48 publications

(32 citation statements)

References 27 publications

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“…The principle of NIQPM and its application to quantifying the spatial cellular density map in a cell has been established and described elsewhere. 15,17,[26][27][28][29][30] Briefly, NIQPM consists of an image acquisition step and a postprocessing procedure to determine the phase profile of optical waves transmitted through the specimen. Through-focus intensity measurements [ Fig.…”

Section: Noninterferometric Quantitative Phase Microscopymentioning

confidence: 99%

“…2(a)] in different planes along the optical axis through the specimen are used to approximate the axial derivative of the intensity. A Green function technique, 17 carried out using a custom written program in MATLAB (The MathWorks, Inc., Natick, MA), is then utilized to solve for phase using the transport of intensity equation, which defines the relationship of axial intensity variations to phase 26 under the paraxial approximation. Last, phase is used to determine the axially integrated mass density, ϱ (pg∕μm 2 ), [31][32][33][34] from which the total cellular mass is determined by integration over the area of the cell [ Fig.…”

Section: Noninterferometric Quantitative Phase Microscopymentioning

confidence: 99%

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Network signatures of nuclear and cytoplasmic density alterations in a model of pre and postmetastatic colorectal cancer

et al. 2014

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Abstract. Cells contributing to the pathogenesis of cancer possess cytoplasmic and nuclear structural alterations that accompany their aberrant genetic, epigenetic, and molecular perturbations. Although it is known that architectural changes in primary and metastatic tumor cells can be quantified through variations in cellular density at the nanometer and micrometer spatial scales, the interdependent relationships among nuclear and cytoplasmic density as a function of tumorigenic potential has not been thoroughly investigated. We present a combined optical approach utilizing quantitative phase microscopy and partial wave spectroscopic microscopy to perform parallel structural characterizations of cellular architecture. Using the isogenic SW480 and SW620 cell lines as a model of pre and postmetastatic transition in colorectal cancer, we demonstrate that nuclear and cytoplasmic nanoscale disorder, micron-scale dry mass content, mean dry mass density, and shape metrics of the dry mass density histogram are uniquely correlated within and across different cellular compartments for a given cell type. The correlations of these physical parameters can be interpreted as networks whose nodal importance and level of connection independence differ according to disease stage. This work demonstrates how optically derived biophysical parameters are linked within and across different cellular compartments during the architectural orchestration of the metastatic phenotype.

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Section: Noninterferometric Quantitative Phase Microscopymentioning

confidence: 99%

Section: Noninterferometric Quantitative Phase Microscopymentioning

confidence: 99%

Network signatures of nuclear and cytoplasmic density alterations in a model of pre and postmetastatic colorectal cancer

et al. 2014

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“…2(b)] were taken using the NI-QPM technique, where measured intensity values were used to approximate the axial derivative of the intensity, followed by the application of a Green function technique to solve for phase numerically. 11,17 Lastly, projected sample mass density was determined using a custom MATLAB® program, followed by integration over the area of the sample to retrieve total sample mass. 2 Volume and mass calculations were used to calculate the mean density [ Fig.…”

Section: Methodsmentioning

confidence: 99%

Quantification of volume, mass, and density of thrombus formation using brightfield and differential interference contrast microscopy

Baker‐Groberg¹,

Phillips²,

McCarty³

2013

J. Biomed. Opt

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Abstract. Flow chamber assays, in which blood is perfused over surfaces of immobilized extracellular matrix proteins, are used to investigate the formation of platelet thrombi and aggregates under shear flow conditions. Elucidating the dynamic response of thrombi/aggregate formation to different coagulation pathway perturbations in vitro has been used to develop an understanding of normal and pathological cardiovascular states. Current microscopy techniques, such as differential interference contrast (DIC) or fluorescent confocal imaging, respectively, do not provide a simple, quantitative understanding of the basic physical features (volume, mass, and density) of platelet thrombi/aggregate structures. The use of two label-free imaging techniques applied, for the first time, to platelet aggregate and thrombus formation are introduced: noninterferometric quantitative phase microscopy, to determine mass, and Hilbert transform DIC microscopy, to perform volume measurements. Together these techniques enable a quantitative biophysical characterization of platelet aggregates and thrombi formed on three surfaces: fibrillar collagen, fibrillar collagen þ0.1 nM tissue factor (TF), and fibrillar collagen þ1 nM TF. It is demonstrated that label-free imaging techniques provide quantitative insight into the mechanisms by which thrombi and aggregates are formed in response to exposure to different combinations of procoagulant agonists under shear flow.

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“…Conversely, the phase image, which indicates the phase delay when light transmits through the sample and is independent of the absorption, can achieve a much better contrast, making the phase detection technique an important tool in the fields of material and biological science. [1][2][3][4][5] Phase contrast imaging can be achieved via a number of methods such as interferometry, 6 crystal analysis, 7 Transport of Intensity Equation (TIE) solution, 8,9 or lensless imaging. 10 Coherent diffractive imaging (CDI) is a lensless imaging technique that reconstructs the complex field from the recorded intensity via iterative approaches.…”

Section: Introductionmentioning

confidence: 99%

Ptychographic microscopy via wavelength scanning

et al. 2017

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A wavelength scanning Ptychographic Iterative Engine (ws-PIE) is proposed to reconstruct high-quality complex images of specimens. Compared with common ptychography, which required the user to transversely scan the sample during data acquisition, the ws-PIE fundamentally reduces the data acquisition time and can avoid the heavy dependence on the accuracy of the scanning mechanism. This method can be easily implemented in the field of material and biological science as the wavelength-swept laser source is currently commercially available. The feasibility of the ws-PIE is demonstrated numerically and experimentally.

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Non-interferometric, non-iterative phase retrieval by Green’s functions

Cited by 48 publications

References 27 publications

Network signatures of nuclear and cytoplasmic density alterations in a model of pre and postmetastatic colorectal cancer

Network signatures of nuclear and cytoplasmic density alterations in a model of pre and postmetastatic colorectal cancer

Quantification of volume, mass, and density of thrombus formation using brightfield and differential interference contrast microscopy

Ptychographic microscopy via wavelength scanning

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