scholarly journals High-frequency single beam acoustical tweezers for 3D trapping and dynamic axial manipulation of cells and microparticles

2021 ◽  
Author(s):  
Zhixiong Gong
Keyword(s):  
High Frequency ◽  
Single Beam ◽  
Acoustical Tweezers

scholarly journals Spatially selective manipulation of cells with single-beam acoustical tweezers

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Baudoin ◽  
Jean-Louis Thomas ◽  
Roudy Al Sahely ◽  
Jean-Claude Gerbedoen ◽  
Zhixiong Gong ◽  
...  
Keyword(s):  
Single Beam ◽  
Acoustical Tweezers

scholarly journals Dynamic Analysis of Vehicle Track Coupling Based on Double Beam Track Model

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Yayun Qi ◽  
Huanyun Dai ◽  
Jianjin Yang ◽  
Kun Xu
Keyword(s):  
Frequency Band ◽  
High Frequency ◽  
Harmonic Excitation ◽  
Vertical Acceleration ◽  
Beam Model ◽  
Vertical Force ◽  
Nonlinear Method ◽  
Single Beam ◽  
Double Beam ◽  
Random Irregularity

The rail was considered as double Timoshenko beam in this paper, applied to the vehicle track coupling dynamics model; the Hertz nonlinear method is used to calculate the wheel rail contact force. Wheel rail vertical force and response of vehicle are calculated by using the model under random irregularity and single harmonic excitation; at the same time, wheel rail force and vertical acceleration response of 3-order, 10-order, and 19-order wheel polygon were calculated. The results show that, under the excitation of random irregularity, the wheel rail vertical force of two models was very close in the low frequency band, and the response of the double beam model in the high frequency band of 200–1000 Hz is larger than the single beam model, and the acceleration and displacement responses of the double beam model are relatively close. Under a single harmonic excitation, the double beam model has a shorter wheel rail force attenuation time than that of the single beam model. And wheel rail force peak value of double beam model is 9% larger than that of single beam model. Similarly, the vertical displacement of the double beam model increased by 2.6%. Under the 3-order and 10-order wheel polygon excitation, vertical wheel rail peak force of double beam is, respectively, 37.5% and 50% larger than single beam model; the vertical frame acceleration amplitude is 1 g and 1.7 g; under the 19-order polygon wheel excitation, the difference of the wheel rail force between two models is very small, and the amplitude of acceleration of bogie is 2.3 g. And double beam model has more advantage in analyzing high frequency problems such as wheel polygonization.

scholarly journals Backscatter calibration of high-frequency multibeam echosounder using a reference single-beam system, on natural seafloor

2018 ◽  
Vol 39 (1-2) ◽  
pp. 55-73 ◽  
Author(s):  
Dimitrios Eleftherakis ◽  
Laurent Berger ◽  
Naig Le Bouffant ◽  
Anne Pacault ◽  
Jean-Marie Augustin ◽  
...  
Keyword(s):  
High Frequency ◽  
Multibeam Echosounder ◽  
Single Beam ◽  
Beam System

scholarly journals Classification of Breast Cancer Cells Using the Integration of High-Frequency Single-Beam Acoustic Tweezers and Convolutional Neural Networks

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1212
Author(s):  
Hae Gyun Lim ◽  
O-Joun Lee ◽  
K. Kirk Shung ◽  
Jin-Taek Kim ◽  
Hyung Ham Kim
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Cancer Cell ◽  
High Frequency ◽  
Breast Cancer Cells ◽  
Metastatic Potential ◽  
Cell Deformation ◽  
Promising Alternative ◽  
Single Beam ◽  
Acoustic Tweezers

Single-beam acoustic tweezers (SBAT) is a widely used trapping technique to manipulate microscopic particles or cells. Recently, the characterization of a single cancer cell using high-frequency (>30 MHz) SBAT has been reported to determine its invasiveness and metastatic potential. Investigation of cell elasticity and invasiveness is based on the deformability of cells under SBAT’s radiation forces, and in general, more physically deformed cells exhibit higher levels of invasiveness and therefore higher metastatic potential. However, previous imaging analysis to determine substantial differences in cell deformation, where the SBAT is turned ON or OFF, relies on the subjective observation that may vary and requires follow-up evaluations from experts. In this study, we propose an automatic and reliable cancer cell classification method based on SBAT and a convolutional neural network (CNN), which provides objective and accurate quantitative measurement results. We used a custom-designed 50 MHz SBAT transducer to obtain a series of images of deformed human breast cancer cells. CNN-based classification methods with data augmentation applied to collected images determined and validated the metastatic potential of cancer cells. As a result, with the selected optimizers, precision, and recall of the model were found to be greater than 0.95, which highly validates the classification performance of our integrated method. CNN-guided cancer cell deformation analysis using SBAT may be a promising alternative to current histological image analysis, and this pretrained model will significantly reduce the evaluation time for a larger population of cells.

scholarly journals Designing single-beam multitrapping acoustical tweezers

Ultrasonics ◽  
2015 ◽  
Vol 56 ◽  
pp. 449-455 ◽  
Author(s):  
Glauber T. Silva ◽  
André L. Baggio
Keyword(s):  
Single Beam ◽  
Acoustical Tweezers
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