Research on SRAS-CoV-2 influence on the nervous system

By |2020-03-31T09:06:34+00:00March 31st, 2020|

NETRI offers free samples for research teams that are working on SRAS-CoV-2 interactions with the central/peripheral nervous system. Neurofluidic™ chips allow fluid isolation of neural types to study the spread of the virus through synaptic chambers. Contact us ASAP! Coronavirus humains respiratoires neuro-invasifs et neurotropes : agents neurovirulents potentiels. Marc Desforges, Alain Le Coupanec, Élodie Brison, [...]

Breackthrough unlocks progress in brain-on-a-chip technology

By |2020-03-25T08:46:56+00:00March 25th, 2020|

Press ReleaseMarch 25th, 2020 Breackthrough unlocks progress in brain-on-a-chip technology Massively accelerated image processing supports development of novel treatments for neurological conditions Lyon, March 25, 2020 – Cambridge Consultants and Neuro Engineering Technologies Research Institute (NETRI) announce a breakthrough in precision imaging of brain activity. Working with NETRI’s brain-on-a-chip technology and lensless imaging approach that detects [...]

Development of a high-throughput arrayed neural circuitry platform using human induced neurons for drug screening applications

By |2020-02-20T09:51:40+00:00February 20th, 2020|

Abstract Proper brain function relies on the precise arrangement and flow of information between diverse neural subtypes. Developing improved human cell-based models which faithfully mimic biologically relevant connectivity patterns may improve drug screening efforts given the limited success of animal models to predict safety and efficacy of therapeutics in human clinical trials. To address this [...]

Stay informed !

By |2021-08-19T12:52:47+00:00February 20th, 2020|

We are pleased to present the NETRI Newsletter. Be the first to know about the lastest published papers using neurofluidics chips,the upcoming conferences in the field,our new scientific achievements. Subscribe and stay informed !

Microfluidic neurite guidance to study structure-function relationships in topologicallycomplex population-based neural networks

By |2020-02-07T13:06:06+00:00February 7th, 2020|

ABSTRACT The central nervous system is a dense, layered, 3D interconnected network of populations of neurons, and thus recapitulating that complexity for in vitro CNS models requires methods that can create defined topologically-complex neuronal networks. Several three-dimensional patterning approaches have been developed but none have demonstrated the ability to control the connections between populations of [...]

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