MoFlus: An Open-Source Android Software for Fluorescence-Based Point of Care

Panji Wisnu Wirawan; Adi Wibowo

doi:10.14710/jbiomes.2021.v1i2.39-48

DOI: https://doi.org/10.14710/jbiomes.2021.v1i2.39-48

MoFlus: An Open-Source Android Software for Fluorescence-Based Point of Care

*Panji Wisnu Wirawan

- Department of Informatics, Faculty of Science and Mathematics, Diponegoro University, Indonesia

Adi Wibowo

- Department of Informatics, Faculty of Science and Mathematics, Diponegoro University, Indonesia

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Abstract

High-sensitivity fluorescence-based tests are utilized to monitor various activities in life science research. These tests are specifically used as health monitoring tools to detect diseases. Fluorescence-based test facilities in rural areas and developing countries, however, remain limited. Point-of-care (POC) tests based on fluorescence detection have become a solution to the limitations of fluorescence-based tools in developing countries. POC software for smartphone cameras was generally developed for specific devices and tools, and it ability to select the desired region of interest (ROI) is limited. In this work, we developed Mobile Fluorescence Spectroscopy (MoFlus), an open-source Android software for camera-based POC. We mainly aimed to develop camera-based POC software that can be used for the dynamic selection of ROI; the number of samples; and the types of detection, color, data, and for communication with servers. MoFlus facilitated the use of touch screens and data given that it was developed on the basis of the SurfaceView library in Android and Javascript object notation applications. Moreover, the function and endurance of the app when used multiple times and with different numbers of images were tested.

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Keywords: Point of Care, Android, SurfaceView, Fluorescence, ROI

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In Vol 1, No 2 (2021)

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