Detection of Cellular Parameters Using a Microfluidic Chip-Based System

Preckel, Tobias; Luedke, Gerd; Chan, Sherilynn F.; Wang, Benjamin N.; Dubrow, Robert; Buhlmann, Carsten

doi:10.1016/s1535-5535(04)00213-8

Cited by 23 publications

(8 citation statements)

References 3 publications

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“…Cell numbers could be counted up to approximately 2,500 cells per sample in 4 min, and the total time of analysis was within 30 min for 6 samples (i.e., one full microchip). The instrumentation of this chip-based system and the design of the microfluidic chip have been described in detail by Preckel et al (18).…”

mentioning

confidence: 99%

Rapid and Simple Quantification of Bacterial Cells by Using a Microfluidic Device

Sakamoto

Yamaguchi

Nasu³

2005

Appl Environ Microbiol

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mentioning

confidence: 99%

Rapid and Simple Quantification of Bacterial Cells by Using a Microfluidic Device

Sakamoto

Yamaguchi

Nasu³

2005

Appl Environ Microbiol

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“…The fluorescence values and event number are displayed as dot plots (scattergrams). The instrumentation of this chip‐based system and the design of the microfluidic chip have been described in detail by Preckel et al. (2002).…”

Section: Methodsmentioning

confidence: 99%

“…2005). Automated chip‐based systems are small, cost effective because of low reagent consumption, rapid and highly reproducible (Preckel et al. 2002).…”

Section: Introductionmentioning

confidence: 99%

Simple detection of small amounts of Pseudomonas cells in milk by using a microfluidic device

Yamaguchi

Ohba

Nasu

2006

Lett Appl Microbiol

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Aims: Flow cytometry offers rapid and reliable analyses of bacteria in milk. However, a flow cytometer is relatively expensive and operation is rather complicated for an unskilled operator. We applied flow cytometry using a microfluidic device (on‐chip flow cytometry) in detection of small amounts of milk‐spoiling bacteria. Methods and Results: Pseudomonas cells in milk were in situ hybridized with Cy5‐labelled probe specific for Pseudomonas spp. under optimized condition. Numbers of Pseudomonas cells in the stationary phase and in the starved state determined by on‐chip flow cytometry were compared with those determined by conventional plate counting, and on‐chip flow cytometry detected targeted cells in milk that were undetectable as colony forming units(CFU) on Standards Methods Agar. Conclusions: The contamination in milk with fewer than 10 CFU ml−1 of targeted cells in starved state was detectable with simple procedure (0·5 h milk‐clearing, 1 h fixation, 2 h hybridization and 0·5 h on‐chip flow cytometry following 12 h enrichment of cells). Significance and Impact of the Study: On‐chip flow cytometry following fluorescence in situ hybridization could be applicable to simple detection of milk‐spoiling bacteria.

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“…Instruments capable of microchip‐based FC, like Agilent 2100 Bioanalyzer, are also available now 25 . In the Agilent 2100 Bioanalyzer system, the cells are moving in a pressure‐driven flow through the channels of a special chip, then they are hydrodynamicaly focused and pass a fluorescent detector, and therefore it allows on‐chip single cell analysis 26 . With the proper choice of the fluorescent dye, we can monitor different cell parameters and processes like apoptosis, antibodies, transfection efficiency, gene silencing and viability.…”

Section: Introductionmentioning

confidence: 99%

Amphotericin B and fluconazole susceptibility of Candida species determined by cell‐chip technology

Bouquet¹,

Kocsis²,

Kilár³

et al. 2011

Mycoses

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The aim of this study was to apply the microfluidic cell-chip technology for susceptibility testing. The cell-chip technology was tested with ATCC Candida strains to determine their viability and susceptibility against amphotericin B and fluconazole. Fungal cells were labelled by Sytox Green, and measurements were carried out in the cell chips of the Agilent Bioanalyzer 2100 system. Results obtained by the chip technology were compared with the standard macrodilution method and conventional flow cytometry. Determination of minimum inhibitory concentration values was based on the differentiation between living and dead cells. The cell-chip method was found to be suitable for the detection of Candida cells, for the differentiation between dead and living cells and for the determination of amphotericin B and fluconazole susceptibility of fungal cells. The minimum inhibitory concentration values obtained by the standard macrodilution, the flow cytometry and the cell-chip method showed good correlation.

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Detection of Cellular Parameters Using a Microfluidic Chip-Based System

Cited by 23 publications

References 3 publications

Rapid and Simple Quantification of Bacterial Cells by Using a Microfluidic Device

Rapid and Simple Quantification of Bacterial Cells by Using a Microfluidic Device

Simple detection of small amounts of Pseudomonas cells in milk by using a microfluidic device

Amphotericin B and fluconazole susceptibility of Candida species determined by cell‐chip technology

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