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Drouin, J.F.; Louvel, Liliane; Vanhoutte, Bert; Vivier, H.; Pons, Marie‐Noëlle; Germain, Pierre

doi:10.1023/a:1018429425800

Cited by 14 publications

(3 citation statements)

References 7 publications

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“…It has been often reported that, when cultivated on solid substrate, apical parts of filamentous species tend to become thinner, apparently due to substrate limitation, which induces the cell to increase its surface to volume ratio. Similar behavior has been observed in suspended media on fungi (Trichoderma reesei [151] and S. ambofaciens [153,154]) (Fig. 24).…”

Section: ) Pellet Convex Area -Core Convex Areasupporting

confidence: 83%

“…Six physiological states were defined: growing, four states with increased degree of differentiation, dead, and the physiological status of hyphae could be monitored along the culture. The hyphae of P. chrysogenum are relatively thick: it is not so for S. ambofaciens for which a simple procedure, based on Carbol Gentian, was developed by Drouin et al [153] to distinguish active hyphal parts from inactive ones (Fig. 27 above), which have lost their intracellular material by leakage through the cell wall [170].…”

Section: ) Pellet Convex Area -Core Convex Areamentioning

confidence: 99%

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Biomass Quantification by Image Analysis

Pons

Vivier

1999

Bioanalysis and Biosensors for Bioprocess Monitoring

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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.

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Section: ) Pellet Convex Area -Core Convex Areasupporting

confidence: 83%

Section: ) Pellet Convex Area -Core Convex Areamentioning

confidence: 99%

Biomass Quantification by Image Analysis

Pons

Vivier

1999

Bioanalysis and Biosensors for Bioprocess Monitoring

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“…The ''skeletonisation'' of an object during image analysis can occasionally result in artefactual points or branches [35,40]. Artefactual points (sites where the skeleton is greater than one pixel in width) can lead to the incorrect classification of branch-points, while artefactual branches can lead to an over-estimation of hyphal length and the number of hyphal tips.…”

Section: Image Analysismentioning

confidence: 99%

Morphological quantification of filamentous fungal development using membrane immobilization and automatic image analysis

Barry¹,

Chan²,

Williams³

2009

J Ind Microbiol Biotechnol

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Mycelial morphology is a critically important process property in industrial fermentations of filamentous micro-organisms, as particular phenotypes are associated with maximum productivity. However, the accurate quantification of complex morphologies still represents a significant challenge in elucidating this relationship. A system has been developed for high-resolution characterisation of filamentous fungal growth on a solid substrate, using membrane immobilization and fully-automatic plug-ins developed for the public domain, Java-based, image-processing software, ImageJ. The system has been used to quantify the microscopic development of Aspergillus oryzae on malt agar, by measuring spore projected area and circularity, the total length of a hyphal element, the number of tips per element, and the hyphal growth unit. Two different stages of growth are described, from the swelling of a population of conidiospores up to fully developed, branched hyphae 24 h after inoculation. Spore swelling expressed as an increase in mean equivalent spore diameter was found to be approximately linear with time. Widespread germination of spores was observed by 8 h after inoculation. From approximately 12 h, the number of tips was found to increase exponentially. The specific growth rate of a population of hyphae was calculated as approximately 0.24-0.27 h(-1). A wide variation in growth kinetics was found within the population. The robustness of the image-analysis system was verified by testing the effect of small variations in the input data.

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