Intelligent automation for your lab

APAS Independence
The APAS Independence delivers the benefits of automated culture plate reading to your microbiology lab.

Automation
reduces labour

Intelligent automation using machine learning, APAS Independence reduces manual processes by automating culture plate reading and reporting.

Automation
improves results

This revolutionary platform provides improved standardisation as well as greater traceability of results.

APAS Independence streamlines lab workflows

Accurate identification of microbial growth

The combination of imaging and machine learning delivers exceptional performance for the interpretation of microbial growth on culture plates.

Meaningful interpretation and analysis available for reporting

The APAS AI algorithms provide interpretation like a microbiologist, identifying the following growth characteristics:

  • colony morphology
  • enumeration / colony count
  • spreading organisms and mould detection
  • beta- and alpha-haemolysis
  • colour identification on chromogenic media
APAS Independence generates actionable results

Culture plates are automatically triaged and sorted based on your workflow. Detailed reports are available to facilitate downstream processes, such as identification and antimicrobial susceptibility testing.

Creating efficient labs through reduced manual processing

The APAS Independence reads 200 culture plates per hour with minimal user interaction. Plates with no-significant growth can be automatically removed from the workflow, saving time spent on negative samples.

Improved staff satisfaction

APAS Independence automatically removes up to 95% of culture plates from laboratory workflows reading1, freeing up time for microbiologists to focus on more complex tasks that require their expertise.

"The implementation of the APAS Independence has been a really positive experience. Our staff, have found the instrument easy to use, intuitive and areal time saver, which eliminated any potential resistance to the technology."
Alan Spratt, Head of Department, Infection Sciences, HSL

Pharmaceutical microbiology

APAS Independence provides reliable automation for pharmaceutical microbiology labs. It offers enhanced data integrity and traceability of results, ensuring high quality data supporting batch release of drug products.

Validated performance
Scientifically validated to perform with proven equivalency to current lab methods.
Data integrity
Compliant electronic records that meet the requirements of 21 CFR Part 11, PIC/S Annex 11.
Independent system
No proprietary media required. Supports both 90mm and contact plate sizes.
Learn more about APAS benefits for pharmaceutical microbiology
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Pharma
Lab assistant inspecting culture plate

Clinical microbiology

The APAS Independence provides intelligent automation solutions for the highest-value activities within clinical microbiology labs. APAS has achieved regulatory clearances in the US, Europe and Australia.

Urine cultures
Improve resource utilisation by prioritising plates with significant growth for review
Infection control
Automated screening for MRSA and VRE colonies on chromogenic media
Antimicrobial Susceptibility Testing
Intelligence analysis software to automate zone diameter measurements
APAS Independence culture plate loading
Learn more about APAS benefits for clinical microbiology
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CLINICAL
Observe APAS Independence in action
See why Labor Dr Wisplinghoff, which operates one of the largest clinical microbiology laboratories in Western Europe, introduced the APAS Independence for automated culture plate reading.
APAS Independence at Labor Dr Wisplinghoff
"It’s really exciting to be at the forefront of this development. The potential impact of artificial intelligence in the lab is great. I don’t see actually any process of recognition or interpretation in the laboratory that cannot be greatly aided by rightly trained artificial intelligence, so it’s very exciting to see that it’s moving forward and making its way to reality."
Professor Hilmar Wilsplinghoff, Laboratory Director
1 Aurbach, U., Wirth, S., Gigilo, S., Pohl, B. and Wisplinghoff, H. 2019. Introduction of artificial intelligence for high throughput culture-based MRSA screening. ECCMID 2019. Amsterdam.