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510(k) Data Aggregation

    K Number
    K973335
    Date Cleared
    1998-04-30

    (238 days)

    Product Code
    Regulation Number
    862.2750
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    QUATRO SP SAMPLE PROCESSING SYSTEMS (200-499, INCLUSIVE)

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Quatro SP Series Robotic Sample Processing Systems and their accessories are provided as generic liquid handling systems which must be customized and validated for each user environment, according to in vitro diagnostic test instructions and requirements. The customization can be accomplished by users or can be provided, to customer specifications, by Zenyx authorized representatives.

    Device Description

    Quatro SP Series Sample Processing Systems are bench top, four probe, automated pipettor/dilutors of various sizes (capacities) which are programmed via keypad or personal computer. Optional system components include bar code readers, sample racks for tubes or microplates, workstations, and a washing module. Another option, Concerto software, allows control of the processor from a personal computer and extension of programming capabilities via menu-driven commands. The Quatro SP Series Sample Processing Systems use either stainless steel or teflon coated probe tips. The systems are supplied for generic liquid handing application and must be customized to each user's in vitro test specifications. Training is provided for users who wish to perform their own programming.

    AI/ML Overview

    Here's an analysis of the provided text, focusing on acceptance criteria and a study proving the device meets them:

    1. Table of Acceptance Criteria and Reported Device Performance

    Acceptance CriteriaReported Device Performance
    Accuracy at 10 µL+/- 1% at 10 µL
    Overall Coefficient of Variation (CV)Less than 1% under a standard protocol
    Carryover of liquidsVariable and influenced by type of probe tip, assay setting, sample processor model, and nature of samples tested. Zenyx experts can assist in minimizing it. Each user must validate satisfactory carryover for each test protocol. (This indicates that while carryover is acknowledged, the specific quantitative acceptance for this is user-defined and not universally stated as a fixed benchmark by the manufacturer in this document.)

    2. Sample Size Used for the Test Set and Data Provenance

    The document states: "Each instrument is tested for accuracy and precision." This implies that the testing is performed on individual manufactured units of the device.

    • Sample Size for Test Set: Implicitly, each instrument manufactured is tested. The text does not provide a specific number for a dedicated test set used for the regulatory submission beyond the "each instrument" statement.
    • Data Provenance: The testing is conducted by the manufacturer, Zenyx Scientific Ltd. The document suggests this is part of their quality control and manufacturing process. There is no information regarding the country of origin of this specific test data, nor is it explicitly stated as retrospective or prospective data. However, given it's part of instrument testing before shipment, it would be considered prospective for each individual instrument.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    • Number of Experts: Not applicable. The "ground truth" for accuracy and precision is based on gravimetric testing and calculation of Coefficient of Variation, which are objective, quantifiable measurements. It does not rely on expert subjective assessment.
    • Qualifications of Experts: Not applicable for establishing ground truth in this context. The document mentions "Zenyx liquid handling experts" who "can assist customers in minimizing carryover," but these are for customer support and not for establishing the fundamental performance (accuracy/precision) ground truth for the regulatory submission.

    4. Adjudication Method for the Test Set

    • Adjudication Method: Not applicable. As the ground truth is established through objective, quantitative measurements (gravimetric testing, CV calculation), there is no need for expert adjudication.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    • MRMC Study: No. This device is an automated pipetting and diluting system. MRMC studies are typically performed for diagnostic imaging devices or other technologies where human interpretation is involved and subject to variability. This document describes a purely automated system with objective performance metrics.

    6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • Standalone Performance: Yes. The performance data presented (accuracy and precision) directly reflects the standalone performance of the Quatro SP Series Sample Processing Systems as an automated device, without human intervention during the liquid handling process itself. The "human-in-the-loop" aspect comes in programming and validating the system, but the core performance metrics are for the automated function.

    7. The Type of Ground Truth Used

    • Type of Ground Truth: The ground truth for accuracy and precision is based on objective quantitative measurements using gravimetric testing (for accuracy) and statistical calculations (for CV/precision). For carryover, the principle is also objective, but the acceptable level is defined by the user for their specific assays.

    8. The Sample Size for the Training Set

    • Sample Size for Training Set: Not applicable in the traditional sense of a machine learning model. This is a robotic hardware system, not an AI or algorithm that "learns" from a training set. Its operational parameters are programmed rather than learned through data.

    9. How the Ground Truth for the Training Set was Established

    • Ground Truth for Training Set: Not applicable. See point 8. The device's operation is based on its mechanical design, software programming, and calibrated components, not on a data-driven training process.
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