Measurement of hybridoma cell number, viability, and morphology using fully automated image analysis

Tucker, K. G.; Chalder, S.; Al‐Rubeai, Mohamed; Thomas, C. R.

doi:10.1016/0141-0229(94)90106-6

Cited by 34 publications

(12 citation statements)

References 8 publications

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“…Hemocytometers are made of special optical glass on which cell suspensions are loaded in specified volumes and counted under a microscope. Sources of error in hemocytometry include uneven cell distribution in the sample; too many or too few cells in the sample; subjective decisions as to whether a given cell falls within the defined counting area; contamination of the hemocytometer; user-to-user variation; and variation of hemocytometer filling rate (2). …”

Section: Introductionmentioning

confidence: 99%

Automated Handheld Instrument Improves Counting Precision Across Multiple Cell Lines

Johnston¹

2010

BioTechniques

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Section: Introductionmentioning

confidence: 99%

Automated Handheld Instrument Improves Counting Precision Across Multiple Cell Lines

Johnston¹

2010

BioTechniques

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“…Cells which have sustained damage will become stained and viability is then determined by a counting procedure. Tucker et al (1994) facilitated the counting and identification procedure by using digital image analysis methods, thereby eliminating the contribution of human error to the counting procedure. A number of authors, including Abu-Reesh and Kargi (1989), in assessing the accuracy of the dye exclusion method, contended that shear stress may lead to only temporary membrane damage, which does not affect viability.…”

Section: Cellular Response To Hydrodynamic Shearmentioning

confidence: 99%

The effects of turbulent jet flows on plant cell suspension cultures

MacLoughlin

Malone

Murtagh³

et al. 1998

Biotechnol. Bioeng.

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“…The dead cells are lysed and their intracellular content is dispersed in the broth [166]. Automated analysis of hybridoma cell viability has been proposed by Tucker et al [167] and Maruhashi et al [39] using Trypan Blue staining.…”

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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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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Measurement of hybridoma cell number, viability, and morphology using fully automated image analysis

Cited by 34 publications

References 8 publications

Automated Handheld Instrument Improves Counting Precision Across Multiple Cell Lines

Automated Handheld Instrument Improves Counting Precision Across Multiple Cell Lines

The effects of turbulent jet flows on plant cell suspension cultures

Biomass Quantification by Image Analysis

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