Christin Schuelke

• Cunha, Andrè Bastos da; Schuelke, Christin; Heiskanen, Arto; Asif, Afia; Hassan, Yasmin M.; Keller, Stephan S.; Kalvøy, Håvard; Martínez-Serrano, Alberto; Emnéus, Jenny & Martinsen, Ørjan Grøttem (2020). Bioimpedance Measurements on Human Neural Stem Cells as a Benchmark for the Development of Smart Mobile Biomedical Applications. International Federation for Medical and Biological Engineering Proceedings.  ISSN 1680-0737.  72, s 38- 47 . doi: 10.1007/978-981-13-3498-6_6 Full text in Research Archive. Show summary

  Over the past 30 years, stem cell technologies matured from an attractive option to investigate neurodegenerative diseases to a possible paradigm shift in their treatment through the development of cell-based regenerative medicine (CRM). Implantable cell replacement therapies promise to completely restore function of neural structures possibly changing how we currently perceive the onset of these conditions. One of the major clinical hurdles facing the routine implementation of stem cell therapy is the limited and inconsistent benefit observed thus far. While unclear, numerous pre-clinical and a handful of clinical cell fate imaging studies point to poor cell retention and survival. Coupling the need to better understand these mechanisms while providing scalable approaches to monitor these treatments in both pre-clinical and clinical scenarios, we show a proof of concept bioimpedance electronic platform for the Agile development of smart and mobile biomedical applications like neural implants or highly portable monitoring devices.

• Cunha, Andrè Bastos da; Hou, Jie & Schuelke, Christin (2019). Machine learning for stem cell differentiation and proliferation classification on electrical impedance spectroscopy. Journal of Electrical Bioimpedance.  ISSN 1891-5469.  10(1), s 124- 132 . doi: 10.2478/joeb-2019-0018 Full text in Research Archive. Show summary

  Electrical impedance spectroscopy (EIS) measurements on cells is a proven method to assess stem cell proliferation and differentiation. Cell regenerative medicine (CRM) is an emerging field where the need to develop and deploy stem cell assessment techniques is paramount as experimental treatments reach pre-clinical and clinical stages. However, EIS measurements on cells is a method requiring extensive post-processing and analysis. As a contribution to address this concern, we developed three machine learning models for three different stem cell lines able to classify the measured data as proliferation or differentiation laying the stone for future studies on using machine learning to profile EIS measurements on stem cells spectra.

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• Schuelke, Christin; Cunha, Andrè Bastos da; Heiskanen, Arto; Asif, Afia; Keller, Stephan S.; Martínez-Serrano, Alberto; Emnéus, Jenny & Martinsen, Ørjan Grøttem (2020). Neural Stem Cell Characterization and Detection of Neurotransmitter release using Bioimpedance and Electrochemistry. Show summary

  The goal of the Training4CRM project is to develop a device for personalized medicine to treat neurodegenerative disorders (Parkinson´s Disease, Huntington´s Disease, and Epilepsy). This future device includes a bioimplant consisting of a 3D scaffold, electronics, a light source and optogenetically modified neuronal cells that will be operated into the patient’s brain to release disease-specific neurotransmitters. The aim of this work is the non-invasive observation of cell proliferation and neuronal differentiation, as well as detection of neurotransmitter release. Electrical Impedance Spectroscopy (EIS) and amperometry provide excellent tools for investigation of various cellular phenomena. EIS can be used to monitor different cellular changes like proliferation, apoptosis, migration, changes in morphology and also (neuronal) differentiation. Compared to most molecular biological methods, bioimpedance measurements are non-invasive and allow for repeated analysis of the same cell population. Human neural stem cells were cultured as monolayer on 2D carbon electrode chips. Bioimpedance measurements were performed every second day to follow the proliferation of hNSCs. Cells impede the flow of current between electrodes. Therefore, an increasing number of cells results in an increased impedance. Amperometry was used to detect the release of neurotransmitters (especially dopamine) after triggered depolarization by stimulation of neurons with a high K+ buffer. Release of oxidizable molecules leads to increased current visible as oxidation peak. This work demonstrates the principle of bioimpedance and electrochemical detection of neurotransmitter release. With EIS, proliferation can be monitored noninvasively over time. With amperometry, detection of repeated depolarization is possible and cells remain active over several days.

• Salado-Manzano, Cristina; Schuelke, Christin; Gonzalez-Ramos, Ana; Waloschková, Eliška; Baumlin, Camille; Vasudevan, Shashank; Rothenbücher, Theresa; Gürbüz, Hakan; Simsa, Robin; Asif, Afia; Mesri, Alireza; Khan, Muhammad Salman; Ghani, Mozhdeh & Campos Maçãs, Sandrina (2019). European Union Horizon2020: Training4CRM ITN. Cell-based therapies for neurodegenerative diseases..
• Schuelke, Christin; Cunha, Andrè Bastos da; Heiskanen, Arto; Asif, Afia; Keller, Stephan S.; Kalvøy, Håvard; Martínez-Serrano, Alberto; Emnéus, Jenny & Martinsen, Ørjan Grøttem (2019). Bioimpedance and Electrochemistry for Neural Stem Cell Characterization and Detection of Dopamine Release. IEEE Engineering in Medicine and Biology Society. Conference Proceedings.  ISSN 1557-170X. Show summary

  Biophysical measurement methods like electrical impedance spectroscopy and amperometry provide an excellent tool for investigation of various cellular phenomena. In this work, bioimpedance measurements have been performed to assess the proliferation of neural stem cells or PC12 cells. Subsequently, amperometry was used to detect neurotransmitter release from PC12 cells or neurons differentiated from neural stem cells.

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