Bioimpedance measurements on human neural stem cells as a benchmark for the development of smart mobile biomedical applications

Cunha, André B.; Schuelke, Christin; Heiskanen, Arto; Asıf, Afia; Hassan, Yasmin; Keller, Stephan Sylvest; Kalvøy, Håvard; Martínez‐Serrano, Alberto; Emnéus, Jenny; Martinsen, Ørjan Grøttem

doi:10.29007/4b1g

Cited by 2 publications

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Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method

Wolff

Santos

Bertemes-Filho

2022

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

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Brazil is one of the countries most affected by the COVID-19 pandemic. Since the beginning of November 2020, Brazil has been experiencing an acute crisis of the disease, with an increase in cases, hospitalizations and deaths, including among the youngest. During the month of April 2021, as intensive care units they were working almost at full capacity throughout the country. Since the beginning of the pandemic, in March 2020, without total, Brazil has reported more than 14 million cases of COVID- 19 and more than 400 thousand deaths. Due to the rapid spread of the virus and due to the fact that the health systems of different countries are not prepared to serve the large number of patients affected by this disease, we have proposed the use of multifrequency electrical impedance tomography (MfEIT) in the management of pulmonary disease in ICU beds. There are several other forms of tomographic imaging that deliver better image resolution, however, MfEIT has some advantages over CT Scan and X-rays, which are: the absence of ionizing radiation, the portability of the equipment, the possibility of access remote control of the patient's clinical data by the medical team, the visualization of dynamic pulmonary and cardiac parameters that are not seen in computed tomography images, nor in ultrasound images. However, an application of the D-Bar algorithms developed by Siltanen and his team, from 2012 to 2020, at the University of Helsinki, Finland, for viewing images in patients with COVID-19 was evaluated. Various scenarios and criteria were proposed in the text and the results obtained promising evidence for imaging internal organs in the radio frequency range. As expected, codes cannot be considered in extremely low frequency situations, as reconstructions are not considered. In the future, we seek to work with deep neural networks to speed up the simulation of images and to compare results.

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Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method

Wolff

Santos

Bertemes-Filho

2022

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases

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Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

Cunha,

Schuelke,

Mesri

et al. 2024

Sensors

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Implantable cell replacement therapies promise to completely restore the function of neural structures, possibly changing how we currently perceive the onset of neurodegenerative diseases. One of the major clinical hurdles for the routine implementation of stem cell therapies is poor cell retention and survival, demanding the need to better understand these mechanisms while providing precise and scalable approaches to monitor these cell-based therapies in both pre-clinical and clinical scenarios. This poses significant multidisciplinary challenges regarding planning, defining the methodology and requirements, prototyping and different stages of testing. Aiming toward an optogenetic neural stem cell implant controlled by a smart wireless electronic frontend, we show how an iterative development methodology coupled with a modular design philosophy can mitigate some of these challenges. In this study, we present a miniaturized, wireless-controlled, modular multisensor platform with fully interfaced electronics featuring three different modules: an impedance analyzer, a potentiostat and an optical stimulator. We show the application of the platform for electrical impedance spectroscopy-based cell monitoring, optical stimulation to induce dopamine release from optogenetically modified neurons and a potentiostat for cyclic voltammetry and amperometric detection of dopamine release. The multisensor platform is designed to be used as an opto-electric headstage for future in vivo animal experiments.

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Bioimpedance measurements on human neural stem cells as a benchmark for the development of smart mobile biomedical applications

Cited by 2 publications

References 2 publications

Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method

Absolute Images Reconstruction in Heart and Lungs for COVID-19 Patients using Multifrequencial Electrical Impedance Tomography System and D-Bar Method

Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant

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