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Zachary, J.S., Kaiqin, C., Alyssa, R.E., Mehdi, R., Amy, G., Marco, M., Denis, M.D., Stephen, L., Dennis, M. and Sebastian, W.H. (2011) Cell-Phone-Based Platform for Biomedical Device Development and Education Applications. PLoS ONE, 6, 1-11.

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• TITLE: Self-Referencing Method for Relative Color Intensity Analysis Using Mobile-Phone

  AUTHORS: Wellington S. Souza, Marcos A. S. de Oliveira, Gabrielli M. F. de Oliveira, Dalton P. de Santana, Renato E. de Araujo

  KEYWORDS: Spectrometry, Colorimetry, Mobile-Phone

  JOURNAL NAME: Optics and Photonics Journal, Vol.8 No.7, July 27, 2018

  ABSTRACT: Mobile-phones have been widely explored on colorimetric evaluations. However, their use with different built-in image systems and acquisition configuration, in an environment with non-controlled illumination, limits the establishment of an accurate color analysis. To overcome this restriction, the determination of the absolute color of an object can be overlooked and a relative color value determined. In this work, we establish a new approach for spectroscopic evaluation based on cell-phone imaging, with no previous calibration, determining relative color values. The standalone relative color intensity method is evaluated under the use of four distinct mobile-phones and different illumination conditions. The capability to distinguish different color shades exploring the proposed self-referenced relative color intensity technique is appraised. Moreover, the potential use of the method is demonstrated by evaluating the chemical-adsorption process of Cysteamine molecules on gold nanoparticle surfaces. The proposed self-referenced technique can improve and expand the use of mobile-phones in spectroscopic applications.