Evidence map›Paper›PMID 25977683›Full record

ArticleComputational intelligence and neuroscience2015

A low-noise, modular, and versatile analog front-end intended for processing in vitro neuronal signals detected by microelectrode arrays.

Giulia Regalia, Emilia Biffi, Giancarlo Ferrigno, Alessandra Pedrocchi

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giulia RegaliaNeuroengineering and Medical Robotics Laboratory, Electronics, Information and Bioengineering Department, Politecnico di Milano, 20133 Milan, Italy.
Emilia BiffiNeuroengineering and Medical Robotics Laboratory, Electronics, Information and Bioengineering Department, Politecnico di Milano, 20133 Milan, Italy ; Bioengineering Laboratory, Scientific Institute IRCCS Eugenio Medea, 23842 Bosisio Parini, Italy.
Giancarlo FerrignoNeuroengineering and Medical Robotics Laboratory, Electronics, Information and Bioengineering Department, Politecnico di Milano, 20133 Milan, Italy.
Alessandra PedrocchiNeuroengineering and Medical Robotics Laboratory, Electronics, Information and Bioengineering Department, Politecnico di Milano, 20133 Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collection of good quality extracellular neuronal spikes from neuronal cultures coupled to Microelectrode Arrays (MEAs) is a binding requirement to gather reliable data. Due to physical constraints, low power requirement, or the need of customizability, commercial recording platforms are not fully adequate for the development of experimental setups integrating MEA technology with other equipment needed to perform experiments under climate controlled conditions, like environmental chambers or cell culture incubators. To address this issue, we developed a custom MEA interfacing system featuring low noise, low power, and the capability to be readily integrated inside an incubator-like environment. Two stages, a preamplifier and a filter amplifier, were designed, implemented on printed circuit boards, and tested. The system is characterized by a low input-referred noise (<1 μV RMS), a high channel separation (>70 dB), and signal-to-noise ratio values of neuronal recordings comparable to those obtained with the benchmark commercial MEA system. In addition, the system was successfully integrated with an environmental MEA chamber, without harming cell cultures during experiments and without being damaged by the high humidity level. The devised system is of practical value in the development of in vitro platforms to study temporally extended neuronal network dynamics by means of MEAs.

Indexed as

Amplifiers, ElectronicMicroelectrodesAction PotentialsAnimalsEquipment DesignNerve NetNeuronsSignal-To-Noise Ratio

Identifiers

PMID25977683
PMCPMC4419262

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.