- Federico Lecumberry, Dr. Ing. (Head)
- Martín Etchart, Ing.
- Mauricio Ramos
- Bernardo Marenco, Ing.
- Manuel Ojeda
- Andréi Guchín, Ing.
- Matías Tailanián, MSc. Ing
- Camila Simoes
- Arnaud Aillaud
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.
In 2016 we co-organized the “Processing and Analysis of Fluorescence Microscopy Images“. 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.
TRAINING OF STUDENTS
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.
- INNOVA II
- Similarity measure for cell membrane fusion proteins identification. Daniela Megrian, Pablo S. Aguilar, Federico Lecumberry. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 21st Iberoamerican Congress, CIARP 2016, Lima, Perú, November 8-11, 2016, Lecture Notes in Computer Science, Springer, , page 257–265 – 2016.
- Medida del largo de cilias primarias : Un plugin para ImageJ. Mauricio Ramos, Paola Lepanto, Florencia Irigoin, Federico Lecumberry. Acta Microscópica, Volume 25 Supp A – 2016.
- A confocal microscopy image analysis method to measure adhesion and internalization of Pseudomonas aeruginosa multicellular structures into epithelial cells. Paola Lepanto, Federico Lecumberry, Jéssica Rossello, Arlinet Kierbel. Molecular and Cellular Probes, Volume 28, Number 1, page 1-5. Feb. 2013.
- Novel classifier scheme for imbalanced problems. Matías Di Martino, Alicia Fernández, Pablo Iturralde, Federico Lecumberry. Pattern Recognition Letters, Volume 34, Number 10, page 1146-1151. Jul. 2013
- Protein Secondary Structure Determination by Constrained Single-Particle Cryo-Electron Tomography. Alberto Bartesaghi, Federico Lecumberry, Guillermo Sapiro, Sriram Subramanian. Structure, Volume 20, Number 12, page 2003-2013. Dec. 2012
- Simultaneous Object Classification and Segmentation With High-Order Multiple Shape Models. Federico Lecumberry, Álvaro Pardo, Guillermo Sapiro. IEEE Transactions on Image Processing, Volume 19, Number 3, page 625 -635. Mar. 2010
- Universal priors for sparse modeling. Ignacio Ramírez, Federico Lecumberry, Guillermo Sapiro. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 3rd, CAMSAP, 2009, page 197-200. Dec. 2009.
- Constrained anisotropic diffusion and some applications. Gabriele Facciolo, Federico Lecumberry, Andrés Almansa, Álvaro Pardo, Vicent Caselles, Bernard Rouge. British Machine Vision Conference, BMVC, page 1049-1058. 4-7 Sep 2006.
- Semi-automatic tracking in video sequences. Federico Lecumberry, Álvaro Pardo. Journal of Computer Science and Technology, Volume 5, Number 4, page 218-224. 2005.