Pascal Formisyn

Improved image analysis algorithm for the characterisation of mycelial aggregates after staining

A colour image processing algorithm is presented to identify and measure morphological features of mycelial aggregates in biomass stained with crystal violet to discriminate filamentous regions and compacted cores. The method improves the accuracy and allows automation of the previous monochrome procedure (Durant et al., 1994). It has been applied to the characterisation of aggregates from a shake-flask culture of Fomes fomentarius (Basidiomycete) presenting extended filamentous outer zones. The area of the whole pellet, core, and annular regions of each pellet were measured. The convex area ratio and annular fullness were estimated and means of each samples were calculated.

A simple staining procedure for the characterisation of Basidiomycetes pellets by image analysis

A simple staining procedure, associated with image analysis, was used to discriminate two zones (the filamentous zones and the compacted cores) in aggregates of fungal biomass according to their accessibility for an agent of the medium. The application of the method to batch fermentations of Schizophyllum commune showed a higher proportion of loosely entangled particles (clumps) and thinner filamentous outer zones obtained at a high agitation speed (500 rpm) compared to low agitation speeds (120–200 rpm).