Abstract
Given the nature of the elements that make up blood, microscopes are fundamental to identifying blood cell morphology. These instruments are expensive and limited, and it is difficult to keep blood samples and their diversity in educational environments. We propose a solution based on virtual reality, that generates reliable blood samples using the automatic creation of images that simulate specific pathologies. We validated the proposal in three aspects: A method of adoption model, the validation of replicated samples and a performance test. The study and subsequent development of the mobile application were able to generate simulations of samples corresponding to a healthy adult and an adult with acute myeloid leukemia, where users can visualize, explore and obtain data on each of the elements that appear in the sample. This iteration not only verifies its technical feasibility but opens the way for future research on improving education or training processes.
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Acknowledgements
This project was initiated thanks to the “Multidisciplinary Research Contest for students - Experimentando 2.0 - organized by the Macrofacultad de Ingeniería, Universidad de La Frontera, Universidad del Bio-Bio and Universidad de Talca, 2018. The authors would like to thank all the participants of the “vNanoscope” initiative: Pablo Acuña, Matias Hernandez, Joaquin Gebauer, Diego Acuña y Jaime Díaz, all from the Universidad de La Frontera. This work was (partially) financed by the Dirección de Investigación, Universidad de La Frontera.
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Díaz, J., Arango-López, J., Sepúlveda, S., Ahumada, D., Moreira, F., Gebauer, J. (2020). A Virtual Reality Approach to Automatic Blood Sample Generation. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_21
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DOI: https://doi.org/10.1007/978-3-030-45691-7_21
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