Biomedical subjects

Sergio Martinoia

Publications and source records attributed to Sergio Martinoia.

5 recordsLinked to original sources

PubMed2006

An automated microdrop delivery system for neuronal network patterning on microelectrode arrays.

The aim of this work is to present a new technique for defining interconnected sub-populations of cultured neurons on microelectrode arrays (MEAs). An automated microdrop delivery technique allows to design and realize spatially distributed neuronal ensembles by depositing sub-nanoliter volumes of adhesion molecules in which neurons grow and develop. Electrophysiological tests demonstrate that functionally interconnected clusters are obtained and experimental results (both spontaneous and stimulus evoked activity recordings) attesting the feasibility of the proposed approach are presented. By means of the automated system, different and specific architectures can be easily designed and functionally studied. In the presented system the speed of drop deposition is about 30 drops/min; the mean diameter is 147 microm; typical cell survival time is 4-5 weeks. By changing drop size and spacing, investigations about how the network dynamics is related to the network structure can be systematically carried out.

Age Factors↗

PubMed2006

Dissociated cortical networks show spontaneously correlated activity patterns during in vitro development.

In vitro cultured neuronal networks coupled to microelectrode arrays (MEAs) constitute a valuable experimental model for studying changes in the neuronal dynamics at different stages of development. After a few days in culture, neurons start to connect each other with functionally active synapses, forming a random network and displaying spontaneous electrophysiological activity. The patterns of collective rhythmic activity change in time spontaneously during in vitro development. Such activity-dependent modifications play a key role in the maturation of the network and reflect changes in the synaptic efficacy, fact widely recognized as a cellular basis of learning, memory and developmental plasticity. Getting advantage from the possibilities offered by the MEAs, the aim of our study is to analyze and characterize the natural changes in dynamics of the electrophysiological activity at different ages of the culture, identifying peculiar steps of the spontaneous evolution of the network. The main finding is that between the second and the third week of culture, the network completely changes its electrophysiological patterns, both in terms of spiking and bursting activity and in terms of cross-correlation between pairs of active channels. Then the maturation process can be characterized by two main phases: modulation and shaping in the synaptic functional connectivity of the network (within the first and second week) and general moderate correlated activity, spread over the entire network, with connections properly formed and stabilized (within the fourth and fifth week).

Action Potentials↗

PubMed2004

ISFET-neuron junction: circuit models and extracellular signal simulations.

Purpose of this paper is to characterize the Ion-Sensitive Field-Effect Transistors (ISFET)-neuron junction, based on the equivalent electric-circuit approach. As a result, recording of action potentials can be simulated with a general-purpose circuit simulation program such as HSPICE. The neuronal electrical activity, extracellularly recorded by the ISFET, is analyzed as a function of the physical-chemical and geometric ISFET parameters, of the ionic currents in the neuron, and of the neuro-electronic junction parameters such as the sealing resistance, double-layer capacitance, and general adhesion conditions. The models of the neuron, of the coupling circuit, and of the ISFET implemented in HSPICE are first described. These models are then used to simulate the behavior of the junction between a patch of neuronal membrane (described by the compartmental model) and the ISFET.

Biophysical Phenomena↗

PubMed2004

Cultured neurons coupled to microelectrode arrays: circuit models, simulations and experimental data.

The purpose of this paper is to characterize the neuron-microelectrode junction, based on the equivalent electric-circuit approach. As a result, recording of action potentials can be simulated with a general-purpose circuit simulation program such as HSPICE. The response of the microelectrode was analyzed as a function of parameters such as sealing resistance and adhesion conditions. The models of the neuron and microelectrode implemented in HSPICE were first described. These models were used to simulate the behavior of the junction between a patch of neuronal membrane (described by the compartmental model) and a microelectrode.

Action Potentials↗

PubMed2003

Bioelectrochemical signal monitoring of in-vitro cultured cells by means of an automated microsystem based on solid state sensor-array.

In the last decade, fundamental advances in whole cell based sensors and microsystems have established the extracellular acidification rate monitoring of cell cultures as an important indicator of the global cellular metabolism. Innovative approaches adopting advanced integrated sensor array-based microsystems represent an emerging technique with numerous biomedical applications. This paper reports a cell-based microsystem, for multisite monitoring of the physiological state of cell populations. The functional components of the microsystem are an ion sensitive field effect transistor (ISFET) array-based sensor chip and a CMOS integrated circuit for signal conditioning and sensor signal multiplexing. In order to validate the microsystem capabilities for in-vitro toxicity screening applications, preliminary experimental measurements with Cheratinocytes, and CHO cells are presented. Variations in the acidification rate, imputable to the inhibitory effect of the drug on the metabolic cell activity have been monitored and cell viability during long term measurements has been also demonstrated.

Animals↗