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An Image-Based Android Application for Colorimetric Sensing of Biomolecules

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1124))

Abstract

In the present work, ubiquitous application of smartphone software application for colorimetric quantification of biomolecular samples and its potential usage in biomedical imaging and analysis have been reported. Android being the most popular and versatile operating system (OS) has been used to develop the software application. The developed app can take the images of the sample through the smartphone camera and thereby analyze and display the concentration of the given biomolecule with good accuracy.

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References

  1. A. Ozcan, Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools. Lab Chip 14, 3187–3194 (2014)

    Article  Google Scholar 

  2. N.D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, A.T. Campbell, A survey of mobile phone sensing. IEEE Commun. Mag. 48, 140–150 (2010)

    Article  Google Scholar 

  3. Mary B. Stuart, Andrew J.S. McGonigle, Jon R. Willmott, Hyperspectral imaging in environmental monitoring: a review of recent developments and technological advances in compact field deployable systems. Sensors 19, 3071 (2019)

    Article  Google Scholar 

  4. S.C. Lo, E.H. Lin, K.L. Lee, T.T. Liang, J.C. Liu, P.K. Wei, W.S. Tsai, A: concave blazed-grating-based smartphone spectrometer for multichannel sensing. IEEE Sens. 19, 11134–11141 (2019)

    Article  Google Scholar 

  5. S. Dutta, A. Choudhury, P. Nath, Evanescent wave coupled spectroscopic sensing using smartphone. IEEE Photon. Technol. Lett. 26, 568–570 (2014)

    Article  Google Scholar 

  6. M.V. Bills, B.T. Nguyen, J.Y. Yoon, Simplified white blood cell differential: an inexpensive, smartphone-and paper-based blood cell count. IEEE Sens. 19, 7822–7828 (2019)

    Article  Google Scholar 

  7. C. Vietz, M.L. Schütte, Q. Wei, L. Richter, B. Lalkens, A. Ozcan, P. Tinnefeld, G.P. Acuna, Benchmarking smartphone fluorescence-based microscopy with dna origami nanobeads: reducing the gap toward single-molecule sensitivity. ACS omega 4, 637–642 (2019)

    Article  Google Scholar 

  8. S. Dutta, Point of care sensing and biosensing using ambient light sensor of smartphone: critical review. TRAC-Trend Anal Chem. 110, 393–400 (2019)

    Article  Google Scholar 

  9. J.I. Hong, B.Y. Chang, Development of the smartphone-based colorimetry for multi-analyte sensing arrays. Lab Chip 14, 1725–1732 (2014)

    Article  Google Scholar 

  10. X. Wang, M.R. Gartia, J. Jiang, T.W. Chang, J. Qian, Y. Liu, X. Liu, G.L. Liu, Audio jack based miniaturized mobile phone electrochemical sensing platform. Sens. Actuat B Chem. 207, 677–685 (2015)

    Article  Google Scholar 

  11. P.B. Lillehoj, M.C. Huang, N. Truong, C.M. Ho, Rapid electrochemical detection on a mobile phone. Lab Chip 13, 2950–2955 (2013)

    Article  Google Scholar 

  12. D. Zhang, J. Jiang, J. Chen, Q. Zhang, Y. Lu, Y. Yao, S. Li, G.L. Liu, Q. Liu, Smartphone-based portable biosensing system using impedance measurement with printed electrodes for 2, 4, 6-trinitrotoluene (TNT) detection. Biosens. Bioelectron. 70, 81–88 (2015)

    Article  Google Scholar 

  13. D. Zhang, Q. Liu, Biosensors and bioelectronics on smartphone for portable biochemical detection. Biosens. Bioelectron. 75, 273–284 (2016)

    Article  Google Scholar 

  14. N. Smyth, Android studio 2 development essentials (Payload Media, USA, 2016)

    Google Scholar 

Download references

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Correspondence to Sibasish Dutta .

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Dutta, S. (2020). An Image-Based Android Application for Colorimetric Sensing of Biomolecules. In: Jain, S., Paul, S. (eds) Recent Trends in Image and Signal Processing in Computer Vision. Advances in Intelligent Systems and Computing, vol 1124. Springer, Singapore. https://doi.org/10.1007/978-981-15-2740-1_7

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