Analyzing developing brain-on-chip cultures with the calima calcium imaging tool
Autor: | R.M.C. Mestrom, Regina Luttge, Nikki Wanders, Elles A. L. Raaijmakers |
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Přispěvatelé: | Electrical Engineering, Eindhoven MedTech Innovation Center, Electromagnetics for Care & Cure Lab (EM4C&C), Center for Care & Cure Technology Eindhoven, Electromagnetics, Group Luttge, Microsystems, ICMS Affiliated, EAISI Health |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0303 health sciences
Cellular activity Computer science lcsh:Mechanical engineering and machinery Mechanical Engineering Software tool Brain-on-chip culture Neuronal network Article Acquisition rate Cell activity 03 medical and health sciences 0302 clinical medicine Calcium imaging Control and Systems Engineering Calcium fluorescence imaging Biological neural network lcsh:TJ1-1570 Electrical and Electronic Engineering Neuroscience 030217 neurology & neurosurgery 030304 developmental biology |
Zdroj: | Micromachines, 12(4):412. Multidisciplinary Digital Publishing Institute (MDPI) Micromachines Volume 12 Issue 4 Micromachines, Vol 12, Iss 412, p 412 (2021) |
ISSN: | 2072-666X |
Popis: | Brain-on-chip (BoC) models are tools for reproducing the native microenvironment of neurons, in order to study the (patho)physiology and drug-response of the brain. Recent developments in BoC techniques focus on steering neurons in their activity via microfabrication and via computer-steered feedback mechanisms. These cultures are often studied through calcium imaging (CI), a method for visualizing the cellular activity through infusing cells with a fluorescent dye. CAlciumImagingAnalyser 2.0 (CALIMA 2.0) is an updated version of a software tool that detects and analyzes fluorescent signals and correlates cellular activity to identify possible network formation in BoC cultures. Using three previous published data sets, it was demonstrated that CALIMA 2.0 can analyze large data sets of CI-data and interpret cell activity to help study the activity and maturity of BoC cultures. Last, an analysis of the processing speed shows that CALIMA 2.0 is sufficiently fast to process data sets with an acquisition rate up to 5 Hz in real-time on a medium-performance computer. |
Databáze: | OpenAIRE |
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