Abstract:An alternative approach for cell-culture end-point protocols is proposed herein. This new technique is suitable for real-time remote sensing. It is based on Electrical Cell-substrate Impedance Spectroscopy (ECIS) and employs the Oscillation-Based Test (OBT) method. Simple and straightforward circuit blocks form the basis of the proposed measurement system. Oscillation parameters – frequency and amplitude – constitute the outcome, directly correlated with the culture status. A user can remotely track the evolut… Show more
“…In this work, Matlab software has been used to simulate the calibration protocol, and for the testing and validation of the model in real time. The next step is to implement the Matlab script in the smart prototype of our OBT system approach [ 15 , 16 , 17 , 18 ]. The OBT prototype will then be able to autonomously follow the ff and the cell density in real time.…”
Section: Resultsmentioning
confidence: 99%
“…A mathematical description of the full system was required for cell-electrode electrical model estimation. The circuit system described in Figure 3 [ 15 , 16 , 17 , 18 ] has three main circuit blocks; a band-pass filter ( H BP ), a current source ( I Zc ), and a voltage comparator block ( K -gain amplifier, comparator filter – H CMP,F –, and the voltage discriminator).…”
Section: Methodsmentioning
confidence: 99%
“…In this work, the measurement method is the oscillation-based test (OBT), detailed in [ 15 , 16 , 17 , 18 ]. This technique is based on connecting the BioZ as an oscillator.…”
Section: Introductionmentioning
confidence: 99%
“…In summary, it is proposed to perform, first, a calibration procedure by employing the OBT technique [ 15 , 16 , 17 , 18 ], and second, to validate with this same technique, the results for other assays with different cells densities. Thus, different initial number of cells was seeded to validate the model obtained in the calibration step.…”
This paper proposes a new yet efficient method allowing a significant improvement in the on-line analysis of biological cell growing and evolution. The procedure is based on an empirical-mathematical approach for calibration and fitting of any cell-electrode electrical model. It is valid and can be extrapolated for any type of cellular line used in electrical cell-substrate impedance spectroscopy (ECIS) tests. Parameters of the bioimpedance model, acquired from ECIS experiments, vary for each cell line, which makes obtaining results difficult and—to some extent-renders them inaccurate. We propose a fitting method based on the cell line initial characterization, and carry out subsequent experiments with the same line to approach the percentage of well filling and the cell density (or cell number in the well). To perform our calibration technique, the so-called oscillation-based test (OBT) approach is employed for each cell density. Calibration results are validated by performing other experiments with different concentrations on the same cell line with the same measurement technique. Accordingly, a bioimpedance electrical model of each cell line is determined, which is valid for any further experiment and leading to a more precise electrical model of the electrode-cell system. Furthermore, the model parameters calculated can be also used by any other measurement techniques. Promising experimental outcomes for three different cell-lines have been achieved, supporting the usefulness of this technique.
“…In this work, Matlab software has been used to simulate the calibration protocol, and for the testing and validation of the model in real time. The next step is to implement the Matlab script in the smart prototype of our OBT system approach [ 15 , 16 , 17 , 18 ]. The OBT prototype will then be able to autonomously follow the ff and the cell density in real time.…”
Section: Resultsmentioning
confidence: 99%
“…A mathematical description of the full system was required for cell-electrode electrical model estimation. The circuit system described in Figure 3 [ 15 , 16 , 17 , 18 ] has three main circuit blocks; a band-pass filter ( H BP ), a current source ( I Zc ), and a voltage comparator block ( K -gain amplifier, comparator filter – H CMP,F –, and the voltage discriminator).…”
Section: Methodsmentioning
confidence: 99%
“…In this work, the measurement method is the oscillation-based test (OBT), detailed in [ 15 , 16 , 17 , 18 ]. This technique is based on connecting the BioZ as an oscillator.…”
Section: Introductionmentioning
confidence: 99%
“…In summary, it is proposed to perform, first, a calibration procedure by employing the OBT technique [ 15 , 16 , 17 , 18 ], and second, to validate with this same technique, the results for other assays with different cells densities. Thus, different initial number of cells was seeded to validate the model obtained in the calibration step.…”
This paper proposes a new yet efficient method allowing a significant improvement in the on-line analysis of biological cell growing and evolution. The procedure is based on an empirical-mathematical approach for calibration and fitting of any cell-electrode electrical model. It is valid and can be extrapolated for any type of cellular line used in electrical cell-substrate impedance spectroscopy (ECIS) tests. Parameters of the bioimpedance model, acquired from ECIS experiments, vary for each cell line, which makes obtaining results difficult and—to some extent-renders them inaccurate. We propose a fitting method based on the cell line initial characterization, and carry out subsequent experiments with the same line to approach the percentage of well filling and the cell density (or cell number in the well). To perform our calibration technique, the so-called oscillation-based test (OBT) approach is employed for each cell density. Calibration results are validated by performing other experiments with different concentrations on the same cell line with the same measurement technique. Accordingly, a bioimpedance electrical model of each cell line is determined, which is valid for any further experiment and leading to a more precise electrical model of the electrode-cell system. Furthermore, the model parameters calculated can be also used by any other measurement techniques. Promising experimental outcomes for three different cell-lines have been achieved, supporting the usefulness of this technique.
“…In the article, a system for performing this supervisory task is proposed using inexpensive discrete components. The global system is implemented using an oscillation-based test (OBT) sensor which is widely described in [ 3 , 4 , 5 ], based on an ARM Cortex-M7 microcontroller and an Intel Edison device as the external system-on-chip which communicates with the sensor using a wireless link based on Bluetooth technology. The peripheral blocks which provide the system with smart features are defined in detail herein.…”
A smart sensor system for cell culture real-time supervision is proposed, allowing for a significant reduction in human effort applied to this type of assay. The approach converts the cell culture under test into a suitable “biological” oscillator. The system enables the remote acquisition and management of the “biological” oscillation signals through a secure web interface. The indirectly observed biological properties are cell growth and cell number, which are straightforwardly related to the measured bio-oscillation signal parameters, i.e., frequency and amplitude. The sensor extracts the information without complex circuitry for acquisition and measurement, taking advantage of the microcontroller features. A discrete prototype for sensing and remote monitoring is presented along with the experimental results obtained from the performed measurements, achieving the expected performance and outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.