Potential Non-Invasive Colorimetric Test for Analysis of Human Tears
Objetives: To demonstrate differences in colorimetric patterns between different substances tested with a program for colorimetric image analysis. The ultimate goal of this work is to identify the state of human normal tears versus abnormal tears.Methods: Digital photographs of different substances...
Autor Principal: | Camacho F., Gabriel Eduardo; Pontificia Universidad Javeriana |
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Otros Autores: | Fierro V., Adriana; Pontificia Universidad Javeriana, Briceño, Mónica; Pontificia Universidad Javeriana |
Formato: | info:eu-repo/semantics/article |
Idioma: | spa |
Publicado: |
Pontificia Universidad Javeriana
2016
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Materias: | |
Acceso en línea: |
http://revistas.javeriana.edu.co/index.php/vnimedica/article/view/16207 |
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Sumario: |
Objetives: To demonstrate differences in colorimetric patterns between different substances tested with a program for colorimetric image analysis. The ultimate goal of this work is to identify the state of human normal tears versus abnormal tears.Methods: Digital photographs of different substances (current water, distilled water, normal saline solution, dextrose 5 %, artificial tears, vegetable oil, current used ethanol, and human plasma) in hematocrit tubes were analyzed by using the program Photoshop CS2. The photographs were subjected to comparative colorimetric analysis, comparing the photographs of the tubes of the same substance and comparing between different substances.Results: Were achieved to establish different colorimetric patterns for different used substances, similar colorimetric patterns for the tubes of the same substance, similar colorimetric patterns for all empty tubes and different colorimetric patterns between empty tubes and all analyzed substances.Conclusions: With the exposed method it is possible to determine the type of substance through analysis of colorimetric patterns, by a program of colorimetric image analysis, and will allow through the same method to differentiate between normal and abnormal tears to develop a program, powered by digital photos, that allows a fast, economical and efficient way to identify a substance and that applied specifically to human tears, to establish their state. |
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