Real Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Tabuchi, Takuya; Bando, Kazuna; Kondo, Sota; Tomita, Hiroshi; Shiobara, Eishi; Hayashi, Hiroya; Kato, Haruhisa; Matsuura, Yusuke; Nakamura, Ayako; Kondo, Kaoru

doi:10.1109/issm.2018.8651167

2018 International Symposium on Semiconductor Manufacturing (ISSM) 2018

DOI: 10.1109/issm.2018.8651167

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Real Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Takuya Tabuchi¹,

Kazuna Bando²,

Sota Kondo³

et al.

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Real-Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Tabuchi¹,

Bando²,

Kondo³

et al. 2019

IEEE Trans. Semicond. Manufact.

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It is known that particle size obtained from Brownian motion of a particle is called the diffusion coefficient equivalent size (DCES) and is close to the geometric size independent of the physical properties of a particle. In this paper, it is described that real time measurement of the particle size and particle number concentration by observing the Brownian motion of the particles from which the influence of the flow field has been eliminated by the instrument combining the flow particle tracking (FPT) method and the L-shaped flow cell. Furthermore, we realized in evaluating the refractive index, which is the physical property information of the particles, from the DCES, the Rayleigh scattering equation and the light scattering intensity of particle that physical properties are known. In this paper, we also discuss that improvement of particle size accuracy and refractive index accuracy in the measurement of DCES. Index Terms-Brownian motion, diffusion coefficient equivalent size (DCES), flow particle tracking (FPT) method, physical properties of a particle, refractive index.

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Real-Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Tabuchi¹,

Bando²,

Kondo³

et al. 2019

IEEE Trans. Semicond. Manufact.

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Particle Classification through the Analysis of the Forward Scattered Signal in Optical Tweezers

Carvalho

Silva

Rosa

et al. 2021

Sensors

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The ability to select, isolate, and manipulate micron-sized particles or small clusters has made optical tweezers one of the emergent tools for modern biotechnology. In conventional setups, the classification of the trapped specimen is usually achieved through the acquired image, the scattered signal, or additional information such as Raman spectroscopy. In this work, we propose a solution that uses the temporal data signal from the scattering process of the trapping laser, acquired with a quadrant photodetector. Our methodology rests on a pre-processing strategy that combines Fourier transform and principal component analysis to reduce the dimension of the data and perform relevant feature extraction. Testing a wide range of standard machine learning algorithms, it is shown that this methodology allows achieving accuracy performances around 90%, validating the concept of using the temporal dynamics of the scattering signal for the classification task. Achieved with 500 millisecond signals and leveraging on methods of low computational footprint, the results presented pave the way for the deployment of alternative and faster classification methodologies in optical trapping technologies.

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Real Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Cited by 2 publications

References 1 publication

Real-Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Real-Time Measurement of Exact Size and Refractive Index of Particles in Liquid by Flow Particle Tracking Method

Particle Classification through the Analysis of the Forward Scattered Signal in Optical Tweezers

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