Measurement of red blood cell characteristic using parallel phase shifting interferometry

Flores-Muñoz, V. H.; Toto-Arellano, Noel-Ivan; Lopez-Ortiz, Belen; García, A. Martínez; Rodríguez-Zurita, Gustavo

doi:10.1016/j.ijleo.2015.09.019

Cited by 14 publications

(11 citation statements)

References 13 publications

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“…As we know, due to several specific advantages, such as high accuracy, full-field, rapid speed, non-intervention, optical phase-shifting interferometry(PSI) technique has been widely utilized in phase retrieval of living cell 16–18 , in which the accurate phase map of single cell can be achieved with PSI technique. Moreover, it was reported that AFM imaging has several specific advantages in the morphology measurement of single cell, such as nanoscale resolution, non-intervention and simple sample preparation procedure 19–21 .…”

Section: Introductionmentioning

confidence: 99%

Quantitative refractive index distribution of single cell by combining phase-shifting interferometry and AFM imaging

Zhang

Zhong

Tang

et al. 2017

Sci Rep

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Cell refractive index, an intrinsic optical parameter, is closely correlated with the intracellular mass and concentration. By combining optical phase-shifting interferometry (PSI) and atomic force microscope (AFM) imaging, we constructed a label free, non-invasive and quantitative refractive index of single cell measurement system, in which the accurate phase map of single cell was retrieved with PSI technique and the cell morphology with nanoscale resolution was achieved with AFM imaging. Based on the proposed AFM/PSI system, we achieved quantitative refractive index distributions of single red blood cell and Jurkat cell, respectively. Further, the quantitative change of refractive index distribution during Daunorubicin (DNR)-induced Jurkat cell apoptosis was presented, and then the content changes of intracellular biochemical components were achieved. Importantly, these results were consistent with Raman spectral analysis, indicating that the proposed PSI/AFM based refractive index system is likely to become a useful tool for intracellular biochemical components analysis measurement, and this will facilitate its application for revealing cell structure and pathological state from a new perspective.

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Section: Introductionmentioning

confidence: 99%

Quantitative refractive index distribution of single cell by combining phase-shifting interferometry and AFM imaging

Zhang

Zhong

Tang

et al. 2017

Sci Rep

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“…Even though the calculation can be performed in a single shot [4], the use of several phase shifted interferograms proved to make the measurement more robust to environmental variations [5]. Nowadays, the tendency has been to reduce the number of steps in order to measure dynamic events [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…The spatial and temporal dependency of the background intensity, the amplitude modulation and noise are common in non-aligned arrangements [1]. These issues also apply to one-shot interferometry, where the use of optical components such as diffractive devices, polarizers or pixelated masks disturb the captured interferograms [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Robust two-step phase estimation using the Simplified Lissajous Ellipse Fitting method with Gabor Filters Bank preprocessing

Flores

Rivera

2020

Optics Communications

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We present the Simplified Lissajous Ellipse Fitting (SLEF) method for the calculation of the random phase step and the phase distribution from two phase-shifted interferograms. We consider interferograms with spatial and temporal dependency of background intensities, amplitude modulations and noise. Given these problems, the use of the Gabor Filters Bank (GFB) allows us to filter-out the noise, normalize the amplitude and eliminate the background. The normalized patterns permit to implement the SLEF algorithm, which is based on reducing the number of estimated coefficients of the ellipse equation, from five terms to only two. Our method consists of three stages. First, we preprocess the interferograms with GFB methodology in order to normalize the fringe patterns. Second, we calculate the phase step by using the proposed SLEF technique and third, we estimate the phase distribution using a two-steps formula. For the calculation of the phase step, we present two alternatives: the use of the Least Squares (LS) method to approximate the values of the coefficients and, in order to improve the LS estimation, a robust estimation based on the Leclerc's potential. The SLEF method's performance is evaluated through synthetic and experimental data to demonstrate its feasibility.

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“…Ideally, the phase of two given interferograms can be calculated by the formula proposed by Muravsky et al [1] if the step between the interferograms is known and the interferograms are normalized with no bakground and amplitud variations. Experimentally, the phase shift is done through optical components such as mirror displacement using a piezoelectric [2], polarizers [3], diffraction grids [4] or pixelated cameras [5]. The use of this components in the experimental setup can lead to an erroneous step tuning since if the implementation of the arrangement does not include characterized components.…”

Section: Introductionmentioning

confidence: 99%

Two-step phase shifting algorithms: Where are we?

Flores

Reyes-Figueroa

Carrillo-Delgado³

et al. 2020

Optics & Laser Technology

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Two steps phase shifting interferometry has been a hot topic in the recent years. We present a comparison study of 12 representative self-tunning algorithms based on two-steps phase shifting interferometry. We evaluate the performance of such algorithms by estimating the phase step of synthetic and experimental fringe patterns using 3 different normalizing processes: Gabor Filters Bank (GFB), Deep Neural Networks (DNNs) and Hilbert Huang Transform (HHT); in order to retrieve the background, the amplitude modulation and noise. We present the variants of state-of-the-art phase step estimation algorithms by using the GFB and DNNs as normalization preprocesses, as well as the use of a robust estimator such as the median to estimate the phase step. We present experimental results comparing the combinations of the normalization processes and the two steps phase shifting algorithms. Our study demonstrates that the quality of the retrieved phase from of two-step interferograms is more dependent of the normalizing process than the phase step estimation method.

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Measurement of red blood cell characteristic using parallel phase shifting interferometry

Cited by 14 publications

References 13 publications

Quantitative refractive index distribution of single cell by combining phase-shifting interferometry and AFM imaging

Quantitative refractive index distribution of single cell by combining phase-shifting interferometry and AFM imaging

Robust two-step phase estimation using the Simplified Lissajous Ellipse Fitting method with Gabor Filters Bank preprocessing

Two-step phase shifting algorithms: Where are we?

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