A cell-electrode interface noise model for high-density microelectrode arrays

Joye, Neil; Schmid, Alexandre; Leblebici, Yusuf

doi:10.1109/iembs.2009.5333534

Cited by 23 publications

(25 citation statements)

References 15 publications

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“…The SNR values of the recorded signals have been defined using cellelectrode models adapted from [4] and [5]. The noise factor F P S of the pixel stage is depicted in Fig.…”

Section: Resultsmentioning

confidence: 99%

Amplitude modulation based readout for very dense active microelectrode arrays

Joye

Schmid

Leblebici

2011

IEICE Electron. Express

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Abstract:A readout method which is suitable for high-density active microelectrode arrays used in electrophysiology experiments is presented. Amplitude modulation of consecutive channels enables simultaneous recording and transmission of the signals recorded on multiple electrodes, using a single amplifier. The physical limitation of the readout method is demonstrated to relate to the summation of the thermal noise of each recorded signal at the input of the amplification stage. Post-layout simulations of a possible circuit implementation in a 0.18 µm CMOS technology show that five pixels connected to a single amplifier are feasible with a pitch dimension of 17 µm, and an SNR value of 15 dB.

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“…The SNR values of the recorded signals have been defined using cellelectrode models adapted from [4] and [5]. The noise factor F P S of the pixel stage is depicted in Fig.…”

Section: Resultsmentioning

confidence: 99%

Amplitude modulation based readout for very dense active microelectrode arrays

Joye

Schmid

Leblebici

2011

IEICE Electron. Express

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“…The spectral density and the noise injected by the cellsensor interface environment depend on parameters such as the sensor size and the cell-sensor distance [8]. Hence, if an optimum sensor radius (which also depends on the neural cell size) between 3 μm and 6 μm is considered, the noise spectral density of the recorded voltage has a value in the range of -35 to -15 dB μV/Hz ½ , as depicted in Fig.…”

Section: B Mixer Stage Electrical Characterisationmentioning

confidence: 99%

“…The optimum sensor radius is thus approximately equal to 6 μm. This value is derived using cell-sensor models adapted from [7] and [8]. In this case, the noise of the Fig.…”

Section: B Mixer Stage Electrical Characterisationmentioning

confidence: 99%

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Extracellular recording system based on amplitude modulation for CMOS microelectrode arrays

Joye

Schmid

Leblebici

2010

2010 Biomedical Circuits and Systems Conference (BioCAS)

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An innovative readout channel, based on analog amplitude modulation of the signals recorded by each sensing site, is developed for high-density CMOS-based microelectrode arrays. A single amplification stage simultaneously records the neural activity acquired from several sensors. A theoretical analysis has demonstrated that a major physical limitation of the readout architecture relates to the summation of the thermal noise of each recorded signal at the input node of the front-end amplification stage. After implementation of the proposed readout architecture in a UMC 0.18 μm CMOS technology, it has been shown that the maximum number of sensors which can simultaneously be recorded depends on the electrical characteristics of the recorded extracellular voltages, which depend on the experimental setup. Considering a typical case encountered during electrophysiological experiments, the maximum number of sensors which can simultaneously be recorded is approximately in the range of 5-10.

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“…The increased specific surface area can be utilized in either chemical sensors to promote catalytic reactions [Jemenez-Cadena, 2007;Roumanie, 2008] or to increase signal-to-noise ratio in potential sensors [Joye, 2009]. Since the nanostructure and thickness of BPS can be tailored, the optical properties (reflectance, absorbance) can also be influenced, and e.g.…”

Section: Further Possible Applicationsmentioning

confidence: 99%

Black poly-silicon: A nanostructured seed layer for sensor applications

Fekete

Horváth

Bérces

et al. 2014

Sensors and Actuators A: Physical

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Abstract:Nanostructured silicon surfaces like black-silicon (b-Si) are of great interest in current sensor technology. This paper presents an alternative method to fabricate b-Si in poly-silicon thin film prepared on pre-deposited insulation layer in order to open new door to the integration of silicon nanograss in biosensor application as sensing or seed layer. In our experiment, black poly-silicon (BPS) is formed in LPCVD deposited poly-silicon thin film by deep reactive ion etching (DRIE) at cryogenic temperature in SF 6 +O 2 plasma. Etching parameters like temperature, O 2 flow and RF power is varied and morphology of the resultant thin film is analyzed by scanning electron microscopy. The fabricated samples are subjected to a comparative investigation, which contained pillar density, directionality, etch rate and loading effects. The effect of the grain size of poly-silicon layer is analyzed and compared to samples micromachined in single-crystalline silicon (c-Si). We found that fabrication parameters of BPS morphology significantly differ from that of conventional b-Si realized in c-Si substrate. A simple application example of our BPS layer for increasing specific surface area of potential sensors is also demonstrated. As far as we know, this is the first demonstration and systematic study of b-Si fabrication in poly-silicon thin film.

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A cell-electrode interface noise model for high-density microelectrode arrays

Cited by 23 publications

References 15 publications

Amplitude modulation based readout for very dense active microelectrode arrays

Amplitude modulation based readout for very dense active microelectrode arrays

Extracellular recording system based on amplitude modulation for CMOS microelectrode arrays

Black poly-silicon: A nanostructured seed layer for sensor applications

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