Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement

Lucas Massa, Tiago Vieira, Allan Martins, Ícaro Q. de Araújo, Glauber Silva, Harrisson Santos

2023

Abstract

We use a 3D printed device to measure the density of a micro-particle with acoustofluidics, which consists in using sound waves to trap particles in free space. Initially, the particle is trapped in the microscope’s focal plane (no blur). Then the transducers are shut off and the particle falls inside the fluid, increasing its diameter due to defocus caused by the distance to the lens. This increase in diameter along time provides its velocity, which can, in turn, be used to compute its density. To manually annotate the diameter in the recorded images is a tedious task and is prone to errors. That happens due to the high noise present in the images, specially in the last frames where the defocus is high. Because of that, we use a 2D Gaussian model fitting process to estimate the particle diameter throughout different depth frames. To find the diameters, we initially perform the Gaussian parameters fit with Genetic Algorithm in each frame of the recorded particle trajectory to avoid local minima. Then we refine the fit with Gradient Descent using Tensorflow in order to compensate for any randomness present in the fit of the Genetic Algorithm. We validate the method by retrieving a known particle’s density with acceptable performance.

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Paper Citation


in Harvard Style

Massa L., Vieira T., Martins A., Q. de Araújo Í., Silva G. and Santos H. (2023). Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 254-261. DOI: 10.5220/0011670200003417


in Bibtex Style

@conference{visapp23,
author={Lucas Massa and Tiago Vieira and Allan Martins and Ícaro Q. de Araújo and Glauber Silva and Harrisson Santos},
title={Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={254-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011670200003417},
isbn={978-989-758-634-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Model Fitting on Noisy Images from an Acoustofluidic Micro-Cavity for Particle Density Measurement
SN - 978-989-758-634-7
AU - Massa L.
AU - Vieira T.
AU - Martins A.
AU - Q. de Araújo Í.
AU - Silva G.
AU - Santos H.
PY - 2023
SP - 254
EP - 261
DO - 10.5220/0011670200003417
PB - SciTePress