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Signal Processing


  • Federico Lecumberry, Dr. Ing. (Head)
  • Martín Etchart, Ing.
  • Mauricio Ramos
  • Bernardo Marenco, Ing.

Former members

  • Matías Tailanián, MSc. Ing
  • Andréi Guchín, Ing.




The Signal Processing Laboratory (LPS) research interests are related to Signal and Image Processing and its applications to Biology and Biomedicine, in particular toStructuralBiology.

The first goal as a line of research is the formation and consolidation of a joint interdisciplinary research group in biomedical signal and image processing, with the participation of members of the DPS and the Institut Pasteur de Montevideo. In this sense, signal processing provides an objective approach to automatize and systematize the analysis of data generated by the wide range of techniques and equipments used in the IP Montevideo. Thus, an interdisciplinary approach to problems allows to develop methodologies and algorithms that incorporate from the beginning the knowledge of the different actors (such as biologists, physicians, engineers, physicists), the DPS have a large experience in this kind of collaborations. One way to achieve this goal is to identify common tasks or procedures to different research groups, usually associated with a technology platform such as epifluorescence microscopy, and develop them a set of tools adapted to these tasks.

A second line of research is related to signal processing with applications to structural biology. Solving the molecular structure of complex macromolecules usually requires the integration of different techniques, the combination of X -ray Crystallography and Cryo-Electron Microscopy (CryoEM) allows to integrate molecular and cellular approaches in order to determine high resolution density maps. Thus, it aims to create a group of researchers with expertise in signal processing with applications to crystallography and CryoEM. For the success of this line of research is essential the collaboration with other research groups within IP Montevideo and the identification of specific joint projects of interest.


We are currently organizing the theoretical and practical course “Processing and Analysis of Fluorescence Microscopy Images“ to be held at the Institut Pasteur de Montevideo in March 2016. The global aim of this course is to equip students to address fluorescence microscopy imaging questions from a comprehensive and quantitative perspective, and to foster two types of students: those with biological background and those trained in quantitative sciences such as mathematics and physics. Theoretical and practical sessions will be organized in a way that the skills of one group of students will help the other group.

As part of the regular courses offered by the Signal Processing Department (Universidad de la República) the LPS connect the student with introductory and advanced courses in signal and image processing, pattern recognition, programming, information theory, among others.


Research Assistants at the LPS are performing posgraduate thesis or are at the last stages of their undergraduate degree in electrical engineering. The LPSalso promotes short internships for undergraduate student from the School of Engineering (Universidad de la República) for working in interdisciplinary projects.


Currently, members of the LPS are part of the Organizing Committee of the 20th Iberoamerican Congresson Pattern Recognition (CIARP 2015) to be held in Montevideo in November 2015. CIARP 2015 is organized by the Uruguayan IAPR Chapter, including members from Universidad de la República and Universidad Católica. Held every year, CIARP is the most important Iberoamerican conference in pattern recognition, computer vision and multimedia. Among the extensive list of application areas covered by thecongress, bioinformatics and human and animal health are one of the most relevant topics.




  1. MatíasTailanián, Federico Lecumberry, Alicia Fernández, Giovanni Gnemmi, Ana Meikle, Isabel Pereira, and Gregory Randall. Dairy cattle sub-clinical uterine disease diagnosis using pattern recognition and image processing techniques. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, volume 8827 of Lecture Notes in Computer Science, pages 690–697. Springer International Publishing, 2014.