Automated quantification study of human cardiomyocyte synchronization using holographic imaging

Moon, Inkyu; Ahmadzadeh, Ezat; Jaferzadeh, Keyvan; Kim, Namgon

doi:10.1364/boe.10.000610

Cited by 10 publications

(3 citation statements)

References 32 publications

(23 reference statements)

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“…For example, Moon et al reported the observation of rhythm strip and parameters of synchronization of human-induced pluripotent stem cell (iPS). [23,24] Mugunano et al evaluated cadmium-induced cell apoptosis. [25] Ugele et al quantitatively compared differentiation of leukocytes (DIFF) with eight leukocyte subtypes.…”

Section: Methods Detailsmentioning

confidence: 99%

Label-free imaging and analysis of subcellular parts of a living diatom cylindrotheca sp. using optical diffraction tomography

et al. 2020

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Optical diffraction tomography is an emerging label-free microscopic technique with its capability of label-free, quantitative, and rapid imaging of biological samples. In this work, we present the imaging and analysis of a living diatom Cylindrotheca sp. in seawater without using any pretreatment such as fluorescence staining. The 3D refractive index (RI) of a living diatom cell was measured, to which quantitative image analysis was perform to investigate subcellular parts of the diatom. Each part of the cell was well distinguished as RI values and distributions. From the analysis, RI values of frustules, protoplasm, vacuole, and chloroplast were estimated to be in the range of 1.

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Section: Methods Detailsmentioning

confidence: 99%

Label-free imaging and analysis of subcellular parts of a living diatom cylindrotheca sp. using optical diffraction tomography

et al. 2020

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“…2 ) [ 63 , 64 ]. Thereby, contraction and relaxation velocity as well as deformation distance can be determined, serving as surrogate parameters for force generation [ 62 , 63 , 65 ]. Due to its accessibility and unpretentious technique, this approach is widely used and scalable for approaches in multiwell plate formats in order to perform high-content screening assays using contractility as a readout.…”

Section: Analysis Of Hipsc-cm Modelsmentioning

confidence: 99%

Human Induced Pluripotent Stem Cells as a Disease Model System for Heart Failure

Deicher

Seeger

2020

Curr Heart Fail Rep

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Purpose of Review Heart failure is among the most prevalent disease complexes overall and is associated with high morbidity and mortality. The underlying aetiology is manifold including coronary artery disease, genetic alterations and mutations, viral infections, adverse immune responses, and cardiac toxicity. To date, no specific therapies have been developed despite notable efforts. This can especially be attributed to hurdles in translational research, mainly due to the lack of proficient models of heart failure limited translation of therapeutic approaches from bench to bedside. Recent Findings Human induced pluripotent stem cells (hiPSCs) are rising in popularity, granting the ability to divide infinitely, to hold human, patient-specific genome, and to differentiate into any human cell, including cardiomyocytes (hiPSC-CMs). This brings magnificent promise to cardiological research, providing the possibility to recapitulate cardiac diseases in a dish. Advances in yield, maturity, and in vivo resemblance due to straightforward, low-cost protocols, high-throughput approaches, and complex 3D cultures have made this tool widely applicable. In recent years, hiPSC-CMs have been used to model a wide variety of cardiac diseases, bringing along the possibility to not only elucidate molecular mechanisms but also to test novel therapeutic approaches in the dish. Summary Within the last decade, hiPSC-CMs have been exponentially employed to model heart failure. Constant advancements are aiming at improvements of differentiation protocols, hiPSC-CM maturity, and assays to elucidate molecular mechanisms and cellular functions. However, hiPSC-CMs are remaining relatively immature, and in vitro models can only partially recapitulate the complex interactions in vivo. Nevertheless, hiPSC-CMs have evolved as an essential model system in cardiovascular research.

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“…The off-axis configuration (see Fig. 1) was shown to be very useful in different studies of biological samples [15][16][17][18][19][20][21][22] and dynamic topography [23,24]. Off-axis configuration for studying biological samples is called digital holographic microscopy (DHM) [17].…”

Section: Introductionmentioning

confidence: 99%

No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network

Jaferzadeh¹,

Hwang²,

Moon³

et al. 2019

Biomed. Opt. Express

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Digital propagation of an off-axis hologram can provide the quantitative phase-contrast image if the exact distance between the sensor plane (such as CCD) and the reconstruction plane is correctly provided. In this paper, we present a deep-learning convolutional neural network with a regression layer as the top layer to estimate the best reconstruction distance. The experimental results obtained using microsphere beads and red blood cells show that the proposed method can accurately predict the propagation distance from a filtered hologram. The result is compared with the conventional automatic focus-evaluation function. Additionally, our approach can be utilized at the single-cell level, which is useful for cell-to-cell depth measurement and cell adherent studies.

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Automated quantification study of human cardiomyocyte synchronization using holographic imaging

Cited by 10 publications

References 32 publications

Label-free imaging and analysis of subcellular parts of a living diatom cylindrotheca sp. using optical diffraction tomography

Label-free imaging and analysis of subcellular parts of a living diatom cylindrotheca sp. using optical diffraction tomography

Human Induced Pluripotent Stem Cells as a Disease Model System for Heart Failure

No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network

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