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 Life Science Research > Amplification | PCR > Real-Time PCR Detection Systems > CFX96 Real-Time PCR Detection System
 

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CFX96 Real-Time PCR Detection System


Click for: | Ordering Information | Specifications |

Related Information: | Literature |

See Also: | PCR Authorization Statements | C1000 Thermal Cycler | PCR Reagents | CFX Manager Software | CFX Manager Software, Security Edition |

The CFX96 optical reaction module converts a C1000 thermal cycler into a powerful and precise real-time PCR detection system. This six-channel real-time PCR system combines advanced optical technology with precise thermal control to deliver sensitive, reliable detection. Features include:

  • Factory calibration to minimize setup time
  • Data collection from all wells during data acquisition
  • Multiple data acquisition modes, including a 1-color fast scan for SYBR Green users
  • Thermal gradient feature to optimize reactions in a single run
  • CFX Manager software with advanced analysis tools for performing normalized gene expression
  • Optimized design lets you configure the CFX96 system to fit your laboratory needs — run without a computer, run up to 4 systems from 1 computer, or integrate with the CFX automation system for higher throughput
  • Email notification option that sends an email, with an attached data file, upon run completion
  • qbasePLUS software streamlines publication submission with MIQE data annotations and RDML files

Six-Channel Optics Shuttle


The CFX96 system's solid-state optical technology (six filtered LEDs, each with a corresponding filtered photodiode) maximizes fluorescence detection for specific dyes in specific channels, providing sensitive detection for precise quantitation and target discrimination. Scanning just above the sample plate, the optics shuttle individually illuminates and reads fluorescence from each well with high sensitivity and no cross talk. At every position and with every scan, the optics shuttle is reproducibly centered above each well, so the light path is always optimal and there is no need to sacrifice data collection in one of the channels to normalize to a passive reference.

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