Identification and Measurement of Bacterial Size Using the ImageStream

31 Jan 2011

This application note describes two bacterial studies performed using the ImageStream high speed imaging cytometer. By combining high speed image collection with quantitative image based measurements, the ImageStream enables accurate identification and classification of bacteria within heterogeneous samples.

Image Stream®X Mark II Imaging Flow Cytometer

Merck

The revolutionary ImageStream®X Mark II Imaging Flow Cytometer combines the speed, sensitivity, and phenotyping abilities of flow cytometry with the detailed imagery and functional insights of microscopy. This unique combination enables a broad range of applications that would be impossible using either technique alone. This instrument produces multiple high-resolution images of every cell directly in flow, including brightfield and darkfield (SSC), and up to 10 fluorescent markers with sensitivity exceeding conventional flow cytometers. Compared to its predecessor, the new ImageStream®X Mark II Imaging Flow Cytometer offers a streamlined workflow, greater flexibility, and optimizations for rare cell applications. Taken together, the capabilities of the ImageStream®X Mark II make it superior for traditional flow applications while greatly expanding the scope of flow cytometry. Applications include the study of cell-cell interactions, phagocytosis, apoptosis and autophagy, the characterization of circulating tumor cells, and many others.

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Cell / Tissue CultureCell culture or tissue culture is used to study the biology of cells or tissues and to isolate cellular products in an environment which can be manipulated and well defined. Accurately control your culture environment with bioreactors or culture incubators, bind your cells to a surface or together with an extracellular matrix. Distinguish cell types with differential media or proliferate cells with certain characteristics using selective media. Enrich your media with supplements such as growth factors, sera and vitamins. Find the best cell and tissue culture products, kits and equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.MicrobiologyMicrobiology is the study of microorganisms including protists, prokaryotes, fungi, and, often, viruses. Microorganisms are a useful research tool as genetic vectors and, in immunology, for antibiotic susceptibility testing, cellular biology and genetics. Microorganisms commonly grow readily in incubators with microbial culture media; this can contain chromogenic supplements to differentiate between cell lines. Estimate your culture’s density of microorganisms with colony counters, or screen and select colonies for desirable clones with automated colony pickers. Additionally, equipment is available to monitor environments for the presence of microbes and identify with microbial identification instruments. Find the best microbiology products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Flow Cytometry / Cell CountingFlow cytometers are used to count, sort and examine multiple characteristics of cells. Other cell analysis equipment includes image cytometers, cell counters, fluorescence-activated cell sorters (FACS), magnetic-activated cell sorters (MACS), and a range of flow cytometry assay kits. Flow cytometers can reveal information on cell viability, cell proliferation, apoptosis and cell cycle progression, as well as identify cell populations and intracellular or cell-surface molecules. Additionally, some flow cytometers, known as FACS, have an additional sorting function after analysis. Cell counters and image cytometers count live and dead cell populations and can also conduct cell proliferation assays. Find the best flow cytometers, cell counters and cell sorters in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.
Identification and Measurement of Bacterial Size Using the ImageStream