APAS Independence with Urine Analysis Module

by Clever Culture Systems AG  · Based in Australia → — Intelligent automation solutions for microbiology laboratories driven by artificial intelligence.
Infectious Disease Laboratory Medicine

Contact vendor
Regulatory Status Disclosed

Overview

The APAS Independence with Urine Analysis Module is an innovative, FDA-cleared and CE-marked in vitro diagnostic instrument designed for automated imaging, analysis, and interpretation of microbial colonies on solid culture plates. It leverages artificial intelligence (AI) algorithms to efficiently screen and sort urine culture plates, categorizing them as ‘significant’, ‘non-significant’, ‘negative’, or ‘for review’. This automation significantly reduces the manual workload in clinical microbiology laboratories, streamlines workflows, and allows microbiologists to focus their expertise on more complex cases, ultimately accelerating patient diagnosis for conditions like urinary tract infections (UTIs). The system is a stand-alone instrument that integrates with Laboratory Information Management Systems (LIMS) and offers a modular approach, allowing for additional analysis modules beyond urine.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated imaging and interpretation of culture plates
  • AI-powered algorithms for microbial growth analysis
  • Screens and sorts plates into 'significant', 'non-significant', 'negative', and 'for review' categories
  • Processes up to 200 culture plates per hour
  • Reduces manual plate reading and handling
  • Optimizes laboratory workflow and resource utilization
  • Provides semi-quantitative assessment of colony counts
  • Full integration with Laboratory Information Management Systems (LIMS)
  • Modular system with various analysis modules (Urine, MRSA, Infection Control, Respiratory)
  • FDA-cleared and CE-marked in vitro diagnostic instrument

Use Cases

  • Automated screening of urine culture plates for Urinary Tract Infections (UTIs)
  • Reducing manual workload in clinical microbiology laboratories
  • Prioritizing positive and significant growth plates for microbiologist review
  • Streamlining laboratory workflows for faster patient diagnosis
  • Automated environmental monitoring plate reading in pharmaceutical laboratories (with specific modules)

What Physicians Need to Know

LIS/LIMS Integration
Offers full integration with Laboratory Information Management Systems (LIMS), sending results in real-time as plates are processed. It supports auto-release of negative results directly to the LIMS, and LIMS integration support is provided during implementation.
Supported Assay Types
Specifically designed for automated screening of urine culture plates for urinary tract infections (UTIs). It processes urine specimens plated on Blood and MacConkey Agars, incubated for 18-22 hours, and works with most commonly used culture media, including bi-plates.
QC/QA Features
Includes daily QC checks to ensure system performance and image integrity. The system has been scientifically validated with proven equivalency to manual methods and holds regulatory clearances in the US (FDA-cleared Class II medical device), Europe (CE-marked IVDR), and Australia.
Result Interpretation AI
Utilizes machine learning and AI algorithms for automated image analysis and interpretation of microbial growth. It identifies colony morphology, enumerates colony counts, detects spreading organisms and mold, identifies beta- and alpha-hemolysis, and recognizes colors on chromogenic media. The system classifies and sorts urine cultures into categories based on growth significance, providing semi-quantitative colony counts.
Critical Value Alerts
Automatically triages and sorts plates, prioritizing those with significant growth for microbiologist review. This intelligent sorting allows for earlier assessment of positive results, which can speed up patient isolation and treatment.
Instrument Interfaces
A standalone instrument with an automated plate handling mechanism and an imaging station for capturing high-quality images. Reports are accessible via an APAS Web User Interface from any networked workstation.
Reference Range Intelligence
Provides semi-quantitative colony counts and categorizes microbial growth into significant, non-significant, or no-growth, effectively applying intelligence based on established thresholds for urine culture interpretation. It automatically reports negative or non-significant cultures.
Turnaround Time Impact
Significantly decreases turnaround times by automating the reading of culture plates, processing up to 200 plates per hour (approximately 3 times faster than manual reading). It can report negative urine cultures in as little as 13 seconds and has been shown to decrease average negative test report turnaround time by 2 hours.
Microbiology ID Support
Automates the detection and interpretation of microbial growth, differentiating and categorizing colony morphologies and determining predominance in mixed cultures. While it doesn't perform full organism identification, it streamlines the workflow by presenting triaged plates for subsequent manual or automated identification and antimicrobial susceptibility testing (AST).
Physician Tip

The APAS Independence with Urine Analysis Module can significantly expedite the reporting of negative urine cultures, allowing for quicker clinical decisions and potentially reducing unnecessary antibiotic prescriptions. For positive cultures, the system intelligently triages them for priority review by microbiologists, which can lead to earlier identification and optimization of antibiotic treatment. Physicians can expect more consistent and standardized culture interpretations due to the AI-driven analysis, augmenting the skills of laboratory staff and improving overall lab efficiency.

The system is designed for seamless integration with existing Laboratory Information Management Systems (LIMS), enabling real-time data transfer and automated release of negative results. This ensures that the APAS Independence can be easily incorporated into current laboratory workflows without requiring proprietary media or significant changes to incubation protocols, thus minimizing disruption and maximizing operational efficiency.

Details

Category Lab & Diagnostics, Pathology AI
Pricing Contact vendor
DeploymentStand-alone instrument
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The APAS Independence with Urine Analysis Module received FDA 510(k) clearance (K183648) as a Class II medical device on May 15, 2019. It is an in vitro diagnostic device for automated assessment and enumeration of microbial colonies on solid culture media for urine cultures from suspected cases of urinary tract infection (UTI).

Integrations
EHR Not specified
Specialties Infectious Disease, Laboratory Medicine

What the Web Says

The APAS Independence with Urine Analysis Module is an FDA-cleared and CE-marked in vitro diagnostic instrument that automates the imaging, analysis, and interpretation of urine culture plates. It uses AI algorithms to triage plates into categories like 'significant,' 'non-significant,' 'negative,' and 'for review,' aiming to reduce the manual workload in microbiology labs. Studies have shown high agreement rates with manual interpretation and significant improvements in efficiency by allowing labs to automatically report negative or non-significant cultures.

Overall: Positive

Strengths

  • Automates initial screening of urine culture plates, reducing manual workload.
  • High positive and negative agreement rates with human interpretation (>98%).
  • Processes up to 200 culture plates per hour, increasing throughput.
  • Allows skilled staff to focus on complex cases by triaging negative/non-significant plates.
  • Provides consistent and reliable reports, reducing natural variation in manual reading.
  • Modular system allows for expansion with additional capabilities at a fraction of the cost of a new instrument.

Limitations

  • All urine culture plates identified as positive for growth still require review by a trained microbiologist.
  • Not evaluated with urine samples from complicated UTIs, persistent UTIs, samples collected by invasive procedures, or immunocompromised subjects.
  • Should not be used to interpret cultures incubated for greater than 22 hours.
  • Some studies noted growth discrepancies between APAS and manual methods, requiring further evaluation.
  • Limited information found from independent tech reviewers, Reddit, G2, or Capterra, with searches often conflated with other products.

Based on reviews from: Thermo Fisher Scientific, American Pharmaceutical Review, PMC (PubMed Central), Clever Culture Systems, accessdata.fda.gov, Physician Ai Tools, J-Stage, Scribd

Last updated: 2026-07-18

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Press & Coverage

Clever Culture Systems
Urine Screening for UTI | Clever Culture Systems
The APAS Independence with Urine Analysis Module automates the reading of urine culture plates, identifying negative or non-significant cultures to improve laboratory efficiency and allow skilled staff to focus on complex cases. It has regulatory clearances from the US FDA, CE Marking to the IVDR in Europe, and registrations in the UK and Australia.
unknown
accessdata.fda.gov
K183648 - APAS Independence with Urine Analysis Module
This FDA 510(k) summary details the clearance of the APAS Independence with Urine Analysis Module on May 15, 2019, as an automated image assessment system for microbial colonies on solid culture media, intended for screening urine cultures for urinary tract infections. The device automates imaging and provides a semi-quantitative assessment of colony counts as an aid in diagnosis.
2019-05
FDA.report
Clever-Culture-Systems-Ag FDA Filings
This page lists FDA filings for Clever Culture Systems AG, including the APAS Independence with Urine Analysis Module, with a submission date of May 15, 2019. It also mentions the APAS Independence device, intended to read, interpret, and sort culture plates for specific clinical conditions.
2019-05
ResearchGate
The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology
This review article, published in January 2026, discusses the application of image analysis AI (IAAI) in clinical microbiology, citing the APAS Independence with Urine Analysis Module as an example of an IAAI application designed for routine clinical practice. It highlights how IAAI tools are beginning to impact clinical microbiology by enhancing efficiency and quality.
2026-01
ASM Journals
The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology
This article from July 2023 discusses the benefits of IAAI in microbiology labs, including decreased turnaround times and hands-on time. It references the APAS Independence with Urine Analysis Module as an FDA-cleared system using IAAI for culture plate interpretation.
2023-07
J-Stage (Japanese Society of Laboratory Medicine)
Future trends in AI (artificial intelligence) technology in clinical lab testing
This article from the Japanese Journal of Medical Technology (Volume 75, Issue 1, 2026) discusses future trends in AI technology in clinical lab testing, listing the APAS Independence with Urine Analysis Module by Clever Culture Systems AG as a device that automates imaging and interpretation of microbial colonies on solid culture media.
2026
Scribd
Artificial Intelligence and Machine Learning (AIML) - Enabled Medical Devices FDA
This document lists FDA-approved Artificial Intelligence and Machine Learning (AIML)-enabled medical devices, including the APAS Independence with Urine Analysis Module, with a submission date of May 15, 2019.
2019-05

Videos

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Frequently Asked Questions

The APAS Independence utilizes advanced artificial intelligence and machine learning to automatically image, interpret, and sort microbiology culture plates, significantly speeding up the analysis process. It can process over 200 culture plates per hour, which is at least three times faster than manual reading, and accurately differentiates plates showing bacterial growth from those that do not, reducing the need for highly skilled microbiologist assistance.
The APAS Independence instrument with its associated urine analysis module has received 510(k) clearance from the US FDA as a Class II medical device. This clearance enables its commercial launch and diagnostic use in the United States. While specific data security measures like HIPAA or GDPR compliance are not detailed in the provided search results, the device's classification as a medical device implies adherence to relevant security standards.
While highly accurate for common findings, the AI may have limitations in identifying extremely rare or novel urine sediment components it hasn't been extensively trained on. Human review by a qualified laboratory professional remains crucial for validating AI results, investigating flagged samples, and interpreting complex cases to ensure comprehensive diagnostic accuracy. The system triages plates into 'significant', 'non-significant' or 'negative', and 'for review' categories, with human intervention required for significant growths and those needing further review.
The APAS Independence is designed to interface with Laboratory Information Systems (LIS) supporting the HL7 2.3.1 protocol, allowing for automated bidirectional communication of patient demographics and results. This integration streamlines workflows by automatically reporting negative samples and removing them from the workflow, freeing up staff to focus on more complex tasks.
The cost structure typically includes the initial capital cost of the instrument, annual software license fees, and an annual maintenance fee. The APAS Independence offers a payback period as short as one year, and typically less than 2-3 years, driven by efficiencies gained through reduced manual labor, faster turnaround times, and optimized staff utilization.
The APAS Independence is noted as the first instrument authorized for sale in the US market to automate the reading, screening, interpretation, and sorting of microbiology culture plates. It differentiates itself through its AI algorithms for urine sediment analysis, high throughput, and ability to auto-verify negative results, reducing manual intervention.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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