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Cell-Tracking System

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XXVI Brazilian Congress on Biomedical Engineering

Abstract

Isolated cells are often chosen for study rather than whole tissues because they can sufficiently represent systems of great complexity. However, conducting experiments with isolated cells is greatly hampered since the available environment is, at first sight, disorganized, due to random cell positioning. Finding a way to improve the performance of the experiments and to enable the organization and selection of an adequate experimental sample population is of great value to researchers. The present work describes a system for tracking isolated cells based on the controlled automation of the charriot of a microscope, in order to streamline and simplify this procedure. A microscope was adapted, from non-inverted to inverted, and stepper motors were coupled to its stage so that, by means of toothed belts, their movements were transmitted to the charriot axes, which became microcontrolled with the aid of a control system consisting of a joystick and 12 buttons. The new system allowed tracking suitable cells by memorizing their initial positions and later moving the charriot back to the stored coordinates. We believe that this is a practical and relatively simple solution that can be easily reproduced in other research laboratories.

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References

  1. Hjortland, G.O., et al.: Genome wide single cell analysis of chemotherapy resistant metastatic cells in a case of gastroesophageal adenocarcinoma. BMC Cancer 11, 455 (2011)

    Article  Google Scholar 

  2. Why Scientist analyze single cell, Qiagen. https://www.slideshare.net/QIAGENscience/why-scientist-analyze-single-cells. Accessed 30 Mar 2018

  3. Gawad, C., Koh, W., Quake, S.R.: Single-Cell genome sequencing: current state of the science. Nat. Rev. Genet. 17(3), 175 (2016)

    Article  Google Scholar 

  4. de Oliveira, P.X., Bassani, R.A., Bassani, J.W.M.: Lethal effect of electric fields on isolated ventricular myocytes. IEEE Trans. Biomed. Eng. 55(11), 2635–2642 (2008)

    Article  Google Scholar 

  5. Resources to single cell analysis, Qiagen. https://www.qiagen.com/nl/resources/knowledge-area/single-cell-resource/. Accessed 30 Mar 2018

  6. Penna, L.B., Bassani, R.A.: Increased spontaneous activity and reduced inotropic response to catecholamines in ventricular myocytes from footshock-stressed rats. Stress 13(1), 73–82 (2010)

    Article  Google Scholar 

  7. Gomes, P.A.P.: Aplicação de técnicas de engenharia no estudo de células cardíacas isoladas: medição de [Ca2 +] e limiar de estimulação (Doctoral dissertation) (1997). http://repositorio.unicamp.br/jspui/handle/REPOSIP/260545

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Acknowledgements

This work was supported by CAPES (Coordination of Improvement of Higher Education Personnel, scholarships to M.Sc. Fernanda dos Santos Costa Leomil). The authors would like to acknowledge the team of the R&D staff at CEB/UNICAMP for the technical support.

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Correspondence to Fernanda dos Santos Costa Leomil .

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dos Santos Costa Leomil, F., de Oliveira, P.X. (2019). Cell-Tracking System. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/1. Springer, Singapore. https://doi.org/10.1007/978-981-13-2119-1_1

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  • DOI: https://doi.org/10.1007/978-981-13-2119-1_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2118-4

  • Online ISBN: 978-981-13-2119-1

  • eBook Packages: EngineeringEngineering (R0)

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