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Logos Biosystems Inc.

Quantom Tx™ Microbial Cell Counter

No more waiting days to count CFUs. In less than 1 minute, the QUANTOM Tx™ scans up to 20 fields of view to produce accurate single bacterial cell counts. The advanced software can account for the varying shapes, sizes, and arrangements of different bacteria.

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Technology

Although smaller and simpler than their eukaryotic counterparts, bacteria are an incredibly diverse group of organisms that come in multiple shapes, sizes, and arrangements. Colony counting is a highly variable and unreliable, as it is only an estimate of the viable cells present. Even expensive flow cytometers and laser scanning cytometers register each particle, single or clustered, as a single event. The QUANTOM Tx™ Microbial Cell Counter is an image-based, automated cell counter that can detect individual bacterial cells in mere minutes. Its novel bacteria-optimized cell detection software can count individual bacterial cells in even the tightest clusters.

What the QUANTOM Tx™ does best

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RESULTS IN MINUTES, NOT DAYS

Minutes to results
No culturing required

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ACCURATE RESULTS

Objective and no user-to-user variability
No estimating based on colony forming units or turbidity

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SINGLE BACTERIUM DETECTION

Regardless of cell shape, size, or arrangement
Advanced bacterial cell counting software

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TOTAL & VIABLE CELL COUNTS

Fluorescence stains for accurate cell detection
Multiple images captured and analyzed

Innovative counting process ensures accurate counts

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STAINING

QUANTOM™ Total Cell Staining Dye easily permeates both gram positive and gram negative bacteria to stain both live and dead cells. QUANTOM™ Viable Cell Staining Dye efficiently labels viable bacteria.

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IMMOBILIZING

Stained cells are mixed with our bacteria-optimized loading buffer, loaded into QUANTOM™ M50 Cell Counting Slides, and spun in the QUANTOM™ Centrifuge to immobilize and evenly distribute the cells throughout the counting chamber to ensure accurate cell counts.

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COUNTING

The QUANTOM Tx™ captures up to 20 high resolution images and counts the cells in each. The highly sophisticated software can distinguish individual cells in various arrangements such as tight clusters or in sequence to produce accurate and reliable total bacterial cell counts.

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Logos Biosystems Inc.

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