title: Automated biofilm morphology quantification from confocal laser scanning microscopy imaging.
abstract: In spite of the immediate visual appeal of confocal laser scanning microscopy images, the extraction of accurate reconstitutions of biofilm morphology requires a lengthy and computational intensive succession of processing steps. However, once performed, it provides ample reward by enabling the quantitative study of biofilm structure. A software suite of image processing tools for full automation of biofilm morphology quantification was developed by integrating preprocessing, segmentation and morphology quantification operations. This software toolbox was implemented in a web server and a user friendly interface was developed to facilitate image submission, storage and sharing, its access being unrestricted for scientific applications. The image bioinformatics tool which results from the integration of the processing operations can be accessed at http://www.itqb.unl.pt:111/clsmip/. Its use is described in this paper and is illustrated with an example of processing of experimental data describing the growth of a mixed species dentrifying biofilm.
authors.affiliation: ITQB/UNL, R Qta Grande 6, 2780 Oeiras, Portugal.
authors.forename: J B
authors.initials: JB
authors.lastname: Xavier
authors.forename: D C
authors.initials: DC
authors.lastname: White
authors.forename: J S
authors.initials: JS
authors.lastname: Almeida
mesh_terms: D001331:Automation; D018441:Biofilms; D004738:Engineering; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods