Genetix QPIx colony picker, bacterial colonies, yeast colonies, phage display system

Unmatched for productivity and performance

Developed from world-class QPix robotics, the new QPix 400 series of microbial colony pickers offers the unique option to simultaneously detect colonies and quantify fluorescent markers in a pre-screening step before picking.

More than just colony pickers, these systems enable scientists to:
  • Automate workflows from sampling and spreading to picking
  • Pick the right colonies every time
  • Efficiently manage large, diverse populations for: protein expression, biofuel research, enzyme evolution, phage display, DNA sequencing, library generation and management
QPix systems are used worldwide in over 600 installations in research institutes, sequencing facilities, biotech and pharmaceutical companies. QPix robotics developed a reputation for reliability and accuracy, when used in sequencing centers during the Human Genome project.

Shorten timelines, eliminate unnecessary work and expense downstream

  • Use unique information to identify the best colonies
  • Pre-screen colonies using white light and fluorescent imaging
  • Accurately pick up to 30,000 selected colonies per day from trays or dishes

Support more applications

  • Objective, quantitative pre-screening
  • Track fluorescent proteins
    • Compatible with broad range of fluorescent cloning vectors
    • Fuse fluorescent proteins with others to study protein folding or secretion, enzyme evolution or protein localization
    • Use as transformation markers or for mutation screens

Example: fast track development of constructs or target proteins

  • Automate and track entire workflow from spreading* transformed cells to colony picking
  • Pre-screen to identify colonies with optimal expression levels
  • Accurately pick colonies of interest
  • Maintain subsequent clonal integrity

All colonies detected in white light

Colonies expressing required level of target protein identified in fluorescent channel

Selected colonies ready for picking

Unmatched performance

  • Pick the right colony every time
    • Use unique information to identify the best colonies
    • Pre-screen colonies using white light and fluorescent imaging
  • Picking efficiency >98%
    • Organism-specific pins maximize material transfer
    • Automatic calculation of agar height increases accuracy
  • Track entire sample history
    • Enhance visibility of history and location – tag important samples
    • Record and track sample histories from sample spreading* to picking, replication and re-arraying
Review an entire plate in a single view
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High speed operation - accurate colony picking

Systems tailored to workload and application requirements

QPix 460

With a fully automated workflow, provides the greatest flexibility in application and experimental design
  • Automatically sample and spread from 1 x 96 well source plate into bioassay every 30 min.
  • Up to 140 destination plates in 2 stacker lanes
  • Sets up screening assays on filters or agar
  • Cherry-picks selected clones after off-line analysis
QPExpression robotic colony picker
Automated from spreading to picking

QPix 450

No automated spreading enables a greater number of destination plates
  • Up to 210 destination plates in 3 stacker lanes
  • Sets up screening assays on filters or agar
  • Cherry-picks selected clones after off-line analysis
QPix2 XT colony picking robot
Automated from imaging to picking

QPix 420

Full functionality in a bench-top format

  • Pick colonies into maximum 12 destination plates - ability to change plates for longer picking runs

  • Flexibility of plate positioning on the bed offers the ultimate performance in cherry picking selected clones

*Spreading available only on QPix 460
Brochure

QPix

More than just colony pickers

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Recorded webinars

Synthetic Metagenomics: Converting Digital Information Back to Biology

Sam Deutsch Ph.D., Genomics Division of Lawrence Berkeley National Laboratory and the DOE Joint Genome Institute

Hear how Dr Deutsch is using synthetic biology methods to overcome the challenges of converting the vast amounts of sequencing data produced to biochemical molecules that can be functionally characterized.

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