title: Biomass quantification by image analysis.
abstract: Microbiologists have always rely on microscopy to examine microorganisms. When microscopy, either optical or electron-based, is coupled to quantitative image analysis, the spectrum of potential applications is widened: counting, sizing, shape characterization, physiology assessment, analysis of visual texture, motility studies are now easily available for obtaining information on biomass. In this chapter the main tools used for cell visualization as well as the basic steps of image treatment are presented. General shape descriptors can be used to characterize the cell morphology, but special descriptors have been defined for filamentous microorganisms. Physiology assessment is often based on the use of fluorescent dyes. The quantitative analysis of visual texture is still limited in bioengineering but the characterization of the surface of microbial colonies may open new prospects, especially for cultures on solid substrates. In many occasions, the number of parameters extracted from images is so large that data-mining tools, such as Principal Components Analysis, are useful for summarizing the key pieces of information.
authors.affiliation: Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC-INPL, Nancy, France. pons@ensic.u-nancy.fr
authors.forename: M N
authors.initials: MN
authors.lastname: Pons
authors.forename: H
authors.initials: H
authors.lastname: Vivier
mesh_terms: D000465:Algorithms; D000818:Animals; D018533:Biomass; D016466:CHO Cells; D003116:Color; D006224:Cricetinae; D005658:Fungi / Q000166:cytology / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008853:Microscopy / Q000295:instrumentation / Q000379:methods*; D008962:Models, Theoretical; D009068:Movement; D012441:Saccharomyces cerevisiae / Q000166:cytology / Q000648:ultrastructure; D014617:Vacuoles / Q000648:ultrastructure