Floating-gate capacitance sensor array for cell viability monitoring

Author(s):  
Timir Datta ◽  
Emily Naviasky ◽  
Pamela Abshire
2015 ◽  
Vol 270 ◽  
pp. 10-19 ◽  
Author(s):  
Karol Asencio ◽  
W. Bramer-Escamilla ◽  
Gustavo Gutiérrez ◽  
Iván Sánchez

Author(s):  
Sahana Apparsamy ◽  
Kamalanand Krishnamurthy

Soft tissues are non-homogeneous deformable structures having varied structural arrangements, constituents, and composition. This chapter explains the design of a capacitance sensor array for analyzing and imaging the non-homogeneity in biological materials. Further, tissue mimicking phantoms are developed using Agar-Agar and Polyacrylamide gels for testing the developed sensor. Also, the sensor employs an unsupervised learning algorithm for automated analysis of non-homogeneity. The reconstructed capacitance image can also be sensitive to topographical and morphological variations in the sample. The proposed method is further validated using a fiberoptic-based laser imaging system and the Jaccard index. In this chapter, the design of the sensor array for smart analysis of non-homogeneity along with significant results are presented in detail.


Lab on a Chip ◽  
2013 ◽  
Vol 13 (17) ◽  
pp. 3410 ◽  
Author(s):  
Rimi Lee ◽  
Inji Jung ◽  
Miyoung Park ◽  
Hunjoo Ha ◽  
Kyung Hwa Yoo

2012 ◽  
Vol 508 ◽  
pp. 263-266 ◽  
Author(s):  
Zeng Xi Lu ◽  
Gang Yang ◽  
Zeng Shuang Wang

In comparison with cross correlative method based particle velocity measurement, the spatial filtering method for particle velocity measurement has the advantages of simplicity of the measurement system and convenience of data processing. In the paper a capacitive velocimeter, based on the spatial filtering method, is described. In this approach a capacitance sensor array has been used as a spatial filter for particle velocity measurements. Experiments were performed on a test rig and the experimental results show that the system relative error is within ±4% over a velocity range of 2-5m/s for a moving particle.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2514 ◽  
Author(s):  
Rui Li ◽  
Yi Li ◽  
Lihui Peng

The paper proposes a capacitance-sensor-array-based imaging system to detect water leakage inside insulating slabs with porous cells, such as anechoic acoustic rubber tiles. The modeling is conducted by using the finite element method to obtain the electrical potential distribution and sensitivity map with the proposed capacitance sensor array. An experimental test setup, which is composed of an eight-electrode capacitance sensor array and a commercialized capacitance bridge instrument for measurement, is developed. Experiments regarding different leakage scenarios are carried out by using the test setup. Preliminary results standing for different water leakage cases, which are based on the experimental data obtained from the test setup, are presented and depicted as images reconstructed by using different algorithms including the linear back projection (LBP), the projected Landweber iteration, and the total variation regularization. These results demonstrate that the proposed capacitance sensor array is feasible and has a great potential for imaging of water leakage inside insulating slabs with porous cells. A cost-effective capacitance measurement circuit for practical applications is also proposed and simulated.


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