Image

Mineral Identification


In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this line of research, we introduce an interactive visualization application that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique

People Involved in this Line...

Image
Dr. Martín Larrea
Image
Dra. Silvia M. Castro
Image
Dr. Ernesto Bjerg

Main Related Publications

 

Larrea, M. L., Castro, S. M., & Bjerg, E. A. (2014). A software solution for point counting. Petrographic thin section analysis as a case study. Arabian Journal of Geosciences, 7(8), 2981-2989.

  

Other Related Publications

 

Ganuza, L., Antonini, A. S., Gargiulo, F., Ferracutti, G. Bjerg, E. A., Castro. S. M.,, Matković, K. Gröller, E. (2019). Análisis Visual de Datos Multidimiensionales Provenientes de Las Ciencias Geológicas. In XXI Workshop de Investigadores en Ciencias de la Computación (WICC 2019, Universidad de San Juan, Argentina).

  
Ganuza, L., Trippel Nagel, J. M., Gazcón, N. F., Castro, S. M., Bjerg, E., Gargiulo, F., ... & Gröller, E. (2017, August). Visualización y realidad aumentada en el campo de las ciencias geológicas. In XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017, ITBA, Buenos Aires).

  
Ganuza, M. L., Ferracutti, G., Gargiulo, M. F., Castro, S. M., Matković, K., Bjerg, E., & Gröller, E. (2015, May). Análisis visual en Geología. In XVII Workshop de Investigadores en Ciencias de la Computación (Salta, 2015).

  
Ganuza, M. L., Larrea, M. L., Trippel Nagel, J. M., Urribarri, D. K., Castro, S. M., Ferracutti, G., ... & Bjerg, E. (2014, October). Visualización de Datos aplicada a resolver problemas en Ciencias Geológicas. In XVI Workshop de Investigadores en Ciencias de la Computación.

  
Ganuza, M. L., Larrea, M. L., Castro, S. M., Bjerg, E., & Ferracutti, G. (2013). Visualización en Ciencias Geológicas. In XV Workshop de Investigadores en Ciencias de la Computación.

  
Ganuza, M. L., Larrea, M. L., Martig, S. R., Castro, S. M., Bjerg, E., & Ferracutti, G. (2012). Visualización en Ciencias Geológicas. In XIV Workshop de Investigadores en Ciencias de la Computación.

  
Ganuza, M. L., Castro, S. M., Martig, S. R., & Bjerg, E. (2010). Visualización distribuida de composiciones minerales utilizando servicios web. In XII Workshop de Investigadores en Ciencias de la Computación.

  
Image
Image
Image
Image