Posgraduate Theoretical and Practical Course 02-12.04.2013 Montevideo, Uruguay


Claudia Piccini, Instituto de Investigaciones Biológicas Clemente Estable
Paola Scavone, Instituto de Investigaciones Biológicas Clemente Estable
Federico Battistoni, Instituto de Investigaciones Biológicas Clemente Estable


Instituto de Investigaciones Biológicas Clemente Estable (IIBCE).
Avenida Italia 3318. CP 11600. Montevideo – Uruguay.


  • Fabio Olivares – (Brazil)
  • Gilberto Weissmuller – (Brazil)
  • Euan James – (UK)
  • Silvia Villar – (Uruguay)
  • Steffen Härtel – (UChile, Chile)
  • Jorge Jara – (UChile, Chile)
  • Mauricio Cerda – (UChile, Chile)


Download poster PDF Document


Optical Microscopy & Image Processing:
Superresolution imaging for neuroscience. PDF Document
Fast and robust optical flow for time-lapse microscopy using super-voxels. PDF Document
Cell-based quantification of molecular biomarkers in histopathology specimens. PDF Document
Algorithms for cytoplasm segmentation of fluorescence labelled cells. PDF Document
Development of 3D Architecture of Uropathogenic Proteus mirabilis Batch Culture Biofilms – A Quantitative Confocal Microscopy Approach. PDF Document

Manuals & More

ZEISS Principles of Confocal Microscopy PDF Document

Principles of Fluorescence Spectroscopy PDF Document

LEICE TCS LSI Brochure PDF Document

Huygens Professional User Guide from SVI: PDF Document Web Site

Intracellular Fluorescent Probe Concentrations by Confocal Microscopy, Finck et al. 1998 PDF Document

Seeing is believing? Alison J. North, The Journal of Cell Biology, Vol. 172, No. 1, January 2, 2006 9�18 PDF Document

The Good, the Bad and the Ugly ! Helen Pearson, NATURE, 447, May 2007 PDF Document

Measuring and interpreting point spread functions to determine confocal microscope resolution and ensure quality control, Cole et al 2011, NATURE PROTOCOL PDF Document

IDL/ScianTimeCalc: 1er Manual de Reconstrución 3D Word Document


Class 1: S Härtel: PDF Document
“Introduction to Fluorescence Microscopy Resolution, Point Spread Function, Deconvolution, Pitfalls, and Perspectives “

Class 2: J Jara: PDF Document
“Digital Image Processing “

Class 3: M Cerda: PDF Document
“Image Analysis: Shape & Structure “

Class 4: M Cerda: PDF Document
“Image Analysis: Dynamics “

Practical work

Practico 1