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Bioanalysis and Biosensors for Bioprocess Monitoring

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Attention for Chapter 5: Biomass quantification by image analysis.
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Chapter title
Biomass quantification by image analysis.
Chapter number 5
Book title
Bioanalysis and Biosensors for Bioprocess Monitoring
Published in
Advances in biochemical engineering biotechnology, January 2000
DOI 10.1007/3-540-48773-5_5
Pubmed ID
Book ISBNs
978-3-54-066052-1, 978-3-54-048773-9
Authors

M N Pons, H Vivier, Pons, Marie-Noëlle, Vivier, Hervé

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Hungary 1 2%
France 1 2%
Uruguay 1 2%
India 1 2%
United Kingdom 1 2%
Egypt 1 2%
Mexico 1 2%
Denmark 1 2%
Other 1 2%
Unknown 54 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 15 23%
Other 5 8%
Student > Bachelor 4 6%
Professor > Associate Professor 4 6%
Other 10 15%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 38%
Engineering 8 12%
Environmental Science 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Chemical Engineering 3 5%
Other 9 14%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2014.
All research outputs
#23,068,460
of 25,711,194 outputs
Outputs from Advances in biochemical engineering biotechnology
#197
of 232 outputs
Outputs of similar age
#108,771
of 110,597 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#3
of 3 outputs
Altmetric has tracked 25,711,194 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 232 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 110,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.