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

Durant, G.; Cox, Philip W. L.; Formisyn, Pascal; Thomas, C. R.

doi:10.1007/bf00152879

Cited by 18 publications

(9 citation statements)

References 11 publications

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“…Morphological characterization of filamentous organisms (free cells, mycelia, and pellets) in submerged culture has been significantly enhanced by image analysis technology developments [24]; some of these developments have also been applied to bubble size quantification. Consequently, bubble quantification also has progressed significantly from initial methods that used simple manual measurements of photographs [88].…”

Section: Generalmentioning

confidence: 99%

Measurement of bubble and pellet size distributions: past and current image analysis technology

Junker

2006

Bioprocess Biosyst Eng

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Measurements of bubble and pellet size distributions are useful for biochemical process optimizations. The accuracy, representation, and simplicity of these measurements improve when the measurement is performed on-line and in situ rather than off-line using a sample. Historical and currently available measurement systems for photographic methods are summarized for bubble and pellet (morphology) measurement applications. Applications to cells, mycelia, and pellets measurements have driven key technological developments that have been applied for bubble measurements. Measurement trade-offs exist to maximize accuracy, extend range, and attain reasonable cycle times. Mathematical characterization of distributions using standard statistical techniques is straightforward, facilitating data presentation and analysis. For the specific application of bubble size distributions, selected bioreactor operating parameters and physicochemical conditions alter distributions. Empirical relationships have been established in some cases where sufficient data have been collected. In addition, parameters and conditions with substantial effects on bubble size distributions were identified and their relative effects quantified. This information was used to guide required accuracy and precision targets for bubble size distribution measurements from newly developed novel on-line and in situ bubble measurement devices.

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Section: Generalmentioning

confidence: 99%

Measurement of bubble and pellet size distributions: past and current image analysis technology

Junker

2006

Bioprocess Biosyst Eng

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“…Cox and Thomas [25] proposed an image analysis method to characterize pellets based on the presence of a central core while they further classified them into smooth and "hairy" types. Pellet characterization using image analysis was reported by Durant et al [26] who also described pellet zones using dyes, while later they improved their method using color image analysis [27].…”

Section: Pelleted Growthmentioning

confidence: 99%

Characterization of Fungal Morphology using Digital Image Analysis Techniques

Papagianni¹

2014

J Microb Biochem Technol

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The use of filamentous fungi for the production of commercially important products is old but keeps increasing during the last decades. New classes of compounds are being added in the list of products of fungal fermentations as a result of progress in methodologies and applications of biotechnology. Fungi are morphologically complex organisms that differ in structure throughout their life cycle. In submerged fermentation fungal morphology may take distinct forms ranging from dispersed filaments to densely interwoven masses of mycelium known as pellets. Each morphological form has each own characteristics that have a critical impact on the overall process outcome. Dispersed growth results in highly viscous broths with pseudoplastic behavior that have a negative impact on mass and energy transfer rates resulting in higher energy input requirements. Due to the high industrial relevance of fungal morphology there has been a substantial development of tools and techniques to characterize morphology and extract quantitative information that can be used in process control and optimization studies. Digital image analysis is the state of the art method to characterize and quantify fungal morphology in the developmental process from spores to filamentous structures to pellets. The progress made in the area since the 1990s, when the first image analysis methods were reported, is discussed in detail throughout the review.

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“…The segmentation between the compact core and the filamentous zone is generally based on image analysis concepts. A staining procedure has been tested by Durant et al on two basidiomycetes (Schizophyllum commune and Fomes fomentarius) to improve the distinction between these two zones [109,110].…”

Section: The Special Case Of Filamentous Speciesmentioning

confidence: 99%

“…The difficulty in their case is not so much the size of the cells but the very different morphologies that can be observed. The possible interaction between the observed morphologies (A. awamori, [98,99] and niger [100] P. chrysogenum [101][102][103][104][105] S. fradiae [106,107] and tendae [108], basidiomycetes such as Schizophyllum commune [109], Fomes fomentarius [110] or Cyathus striatus [111] ), the mixing conditions and the viscous properties of the broth is one important question for improved process design, not only at the level of the fermenter but also for downstream processing steps such as filtration [112]. Product formation is related to morphology for many species: A. awamori [99,113], A. oryzae [114], A. niger, producer of itaconic and citric acids [115] and enzymes (polygalacturonidase or alpha-glucosidase).…”

Section: The Special Case Of Filamentous Speciesmentioning

confidence: 99%

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

Cited by 18 publications

References 11 publications

Measurement of bubble and pellet size distributions: past and current image analysis technology

Measurement of bubble and pellet size distributions: past and current image analysis technology

Characterization of Fungal Morphology using Digital Image Analysis Techniques

Biomass Quantification by Image Analysis

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