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

Abstract : 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.
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Article dans une revue
Biotechnology Techniques, Springer Verlag, 1994, Volume 8 (Issue 11), pp 759-764. 〈10.1007/BF00152879〉
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https://hal-emse.ccsd.cnrs.fr/emse-00863813
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Soumis le : jeudi 19 septembre 2013 - 15:54:23
Dernière modification le : mardi 22 mars 2016 - 01:16:57

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G. Durant, P.W. Cox, Pascal Formisyn, C.R. Thomas. Improved image analysis algorithm for the characterisation of mycelial aggregates after staining. Biotechnology Techniques, Springer Verlag, 1994, Volume 8 (Issue 11), pp 759-764. 〈10.1007/BF00152879〉. 〈emse-00863813〉

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