Optical Feedback Flowmetry: Impact of Particle Concentration on the Signal Processing Method

Atashkhooei, Reza; Ramírez-Miquet, Evelio E.; Moreira, Raul da Costa; Quotb, Adam; Royo, Santiago; Perchoux, Julien

doi:10.1109/jsen.2017.2781902

Cited by 14 publications

(3 citation statements)

References 20 publications

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“…One major SMI-based micro particle characterization research aspect is particle size distribution estimation by analyzing the signal frequency power spectrum subjected to the dynamic scattering light from the particle population [20][21][22][23]. Another perspective is developing the device or data processing algorithm for particle flowing velocity spatial distribution profile via Doppler frequency spectrometer [24][25][26][27][28]. Neither focus on the individual particle properties, and to date only a few works have reported the characteristics of a single object.…”

Section: Introductionmentioning

confidence: 99%

Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification

et al. 2020

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In this paper, we present a novel optical microfluidic cytometry scheme for label-free detection of cells that is based on the self-mixing interferometry (SMI) technique. This device enables simple, fast and accurate detection of the individual cell characteristics and efficient cell type classification. We also propose a novel parameter to classify the cell or particle size. Artificial polystyrene beads and human living cells were measured using this system, and the SMI signal properties were statistically evaluated. The capability of the proposed cytometer for cell type discrimination and size classification has been validated by the measurement results. Our study can provide a very simple technique for cell enumeration and classification without any extra devices such as high-speed camera, photomultiplier and spectrometer. Moreover, the fluorescence staining operation which is necessary in traditional flow cytometry methods is not required either in our system.

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Section: Introductionmentioning

confidence: 99%

Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification

et al. 2020

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“…Optical Feedback Interferometry (OFI) is a compact and versatile non-contact sensing scheme [1,2] with numerous areas of application. It is used in displacement sensing [3][4][5] including vibrometry [6][7][8], absolute distance measurements [9][10][11], velocimetry [12,13] and flowmetry [14][15][16], to mention a few. OFI is compact, robust, self-aligned and above all, it's need for very few optical elements compared to classical interferometric devices makes it a low cost sensing scheme.…”

Section: Introductionmentioning

confidence: 99%

Experimental demonstration of the impact of the fringe shape in sub-lambda/2 sensing with optical feedback interferometry

et al. 2020

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It is established in the Optical Feedback Interferometry (OFI) theory that the shape of the interferometric fringe has an impact on the detector's response to very small displacement measurements. In this paper we validate -for the first time based on experimental results -this statement by comparing experiments to an established model implementation. Through these experiments we show that the amplitude of the signals induced by sub-lambda/2 optical path variations is linearly dependent on the slope of the underlying fringe. Thus, careful control of the phase allows us to maximize the detection amplitude of very small displacements by positioning the phase where the fringe slope is the steepest. These results are directly applicable to established OFI applications that measure sub-lambda/2 optical path variations, such as OFI vibrometers or acoustic imaging though the acousto-optic effect.

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“…For low density particles in the probe volume, the detection was not qualified enough due to a low backscattering efficiency. Single particle detection using the SMI technique still remains challenging, and there are very few reports on single particle detection in a SMI setup [16][17][18]. Contreras et al presented a particle size characterization study of single polystyrene spheres with a diameter in several tens of microns in the time domain [17].…”

Section: Introductionmentioning

confidence: 99%

Micro Particle Sizing Using Hilbert Transform Time Domain Signal Analysis Method in Self-Mixing Interferometry

Zhao

Zhang

et al. 2019

Applied Sciences

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The present work envisages the development of a novel and low-cost self-mixing interferometry (SMI) technology-based single particle sensing system in a microchannel chip for real time single micro-scale particle sizing. We proposed a novel theoretical framework to describe the impulse SMI signal expression in the time domain induced by a flowing particle. Using Hilbert transform, the interferometric fringe number of the impulse SMI signal was retrieved precisely for particle size discrimination. For the ease of particle sensing, a hydrodynamic focusing microfluidic channel was employed by varying the flow rate ratio between the sample stream and the sheath liquid, and the particle stream of a controllable width was formed very easily. The experimental results presented good agreement with the theoretical values, providing a 300 nm resolution for the particle sizing measurement.

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Optical Feedback Flowmetry: Impact of Particle Concentration on the Signal Processing Method

Cited by 14 publications

References 20 publications

Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification

Self-Mixing Interferometry-Based Micro Flow Cytometry System for Label-Free Cells Classification

Experimental demonstration of the impact of the fringe shape in sub-lambda/2 sensing with optical feedback interferometry

Micro Particle Sizing Using Hilbert Transform Time Domain Signal Analysis Method in Self-Mixing Interferometry

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