K061602 · Bioview , Ltd. · JOY · Jan 23, 2007 · Hematology
Device Facts
Record ID
K061602
Device Name
DUET SYSTEM
Applicant
Bioview , Ltd.
Product Code
JOY · Hematology
Decision Date
Jan 23, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 864.5260
Device Class
Class 2
Indications for Use
The Duet™ System is an automated scanning microscope and image analysis system. It is intended for in vitro diagnostic use as an aiding tool to the pathologist in the detection, classification and counting of cells of interest based on color, intensity, size, pattern, and shape. The Duet™ System is intended to: Detect Hematopoietic cells stained by Giemsa stain, Immunohistochemistry or ISH (with bright field and fluorescent) prepared from cell suspension. Detect amniotic cells stained by FISH (using direct labeled DNA probes for chromosomes X, Y, 13, 18 and 21). Detect cells in urine specimens, stained by FISH (using the Vysis UroVysion™ Bladder Cancer Recurrence Kit for chromosomes 3, 7, 17 and 9p21 locus), from subjects with transitional cell carcinoma of the bladder. Detect and quantify chromosome 17 and the HER-2/neu gene via fluorescence in situ hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast cancer tissue specimens, probed by the Vysis® PathVysion™ HER-2 DNA Probe Kit. The Duet™ is to be used as an adjunctive automated enumeration tool, in conjunction with manual visualization, to assist in determining HER-2/neu gene to chromosome 17 signal ratio.
Device Story
Duet™ System is an automated scanning microscope and image analysis platform; integrates microscope, CCD camera, motorized stage, computer, and software. Operates in clinical laboratory settings; used by trained lab technicians/pathologists. Inputs: cell samples on slides (bright field or fluorescent illumination). System scans slides; uses image analysis to classify cells based on color, intensity, size, pattern, and shape; calculates HER-2/neu gene to chromosome 17 signal ratio. Outputs: digital images, cell classification suggestions, and summary reports. Pathologist reviews automated results, performs manual verification, and makes final clinical decisions. Benefits: reduces time/labor for slide screening; provides adjunctive automated enumeration to assist in HER-2/neu gene amplification assessment.
Clinical Evidence
Bench testing only. Method comparison study (n=70 breast cancer cases) compared Duet automated enumeration to manual microscopy. Results: 99% total agreement (95% CI: 92%-100%), 100% negative percent agreement, 96% positive percent agreement. Reproducibility/repeatability studies (within-run, site-to-site, day-to-day) performed across a range of amplification ratios (1.0 to >2.3). Analysis confirmed 3 fields of view (FOV) are sufficient for effective performance (correlation 0.996 vs 6 FOV).
Technological Characteristics
Integrated imaging platform: microscope, CCD camera, motorized stage, computer workstation. Connectivity: standalone. Standards: EN 61010-1, EN 61326-1, IEC 60601-1-4, ISO 14971-1. Software: automated image analysis for cell classification and signal enumeration. Illumination: bright field and fluorescent.
Indications for Use
Indicated for use as an adjunctive tool for pathologists to detect, classify, and count cells in hematopoietic samples (Giemsa/IHC/ISH), amniotic fluid (FISH for X, Y, 13, 18, 21), urine (FISH for bladder cancer recurrence), and breast cancer tissue (FISH for HER-2/neu gene amplification).
Regulatory Classification
Identification
An automated cell-locating device is a device used to locate blood cells on a peripheral blood smear, allowing the operator to identify and classify each cell according to type. (Peripheral blood is blood circulating in one of the body's extremities, such as the arm.)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY INSTRUMENT ONLY TEMPLATE
A. 510(k) Number:
K061602
B. Purpose for Submission:
Addition to the BioView Duet System of fluorescence in situ hybridization enumeration of the HER-2/neu gene for human breast cancer specimens
C. Manufacturer and Instrument Name:
BioView Ltd.
Duet™ System
D. Type of Test or Tests Performed:
Automated fluorescence in situ hybridization (FISH) enumeration of the HER-2/neu gene in human breast cancer specimens
E. System Descriptions:
1. Device Description:
The Duet system is an automated scanning microscope and image analysis system. The Duet System workstation integrates a microscope, CCD camera, motorized stage, computer, keyboard, mouse, joystick, monitor and a dedicated software program. The Duet System scans cell samples in high resolution and in full color at high speed both in bright light and fluorescent illumination. The Duet System suggests classification of the cells according to their morphological features, their staining and fluorescent signals and allows the user to quickly examine the results, correct them as needed and generate a report summarizing the sample’s data. The unique feature of the Duet System allows the combined presentation of morphological and specific staining information of the same cell, for all the cells of the sample.
This particular application of the Duet system involves detection and quantification of chromosome 17 and the HER-2/neu gene via fluorescence in situ hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast cancer tissue specimens probed by the Vysis® PathVysion™ HER-2 DNA Probe kit.
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2. Principles of Operation:
Samples are prepared according the instructions for the Vysis® PathVysion™ HER-2 DNA Probe kit. The user selects the appropriate areas for analysis in accordance with the PathVysion™ kit instructions. The Duet System automatically captures images for each of the selected areas and the automatic algorithm detects and enumerates the fluorescent signals. The user reviews the signal enumeration for all relevant cells and the results (total number of cells and overall signal ratio) are automatically calculated by the system.
There is no change in the system hardware from the previously cleared system. Software changes were implemented to support the new indication for use for HER-2/neu FISH automated enumeration. The device methodology is well established.
3. Modes of Operation:
Semi-automated computer assisted interpretation
4. Specimen Identification:
Rack/positioning
5. Specimen Sampling and Handling:
Specimens are formalin-fixed, paraffin embedded human breast cancer tissue specimens probed for via fluorescence in situ hybridization (FISH) in interphase nuclei by the Vysis® PathVysion™ HER-2 DNA Probe kit
6. Calibration:
The system requires periodic calibration which should be performed only by BioView authorized personnel.
7. Quality Control:
Control slides are prepared and run concurrently with patient slides according to the PathVysion™ Kit instructions. The control slides are tested on the Duet™ System according to the same procedure as patient slides. It is the responsibility of the pathologist to assure the control slides meet quality acceptance criteria.
8. Software:
FDA has reviewed applicant’s Hazard Analysis and Software Development processes for this line of product types:
Yes ☑ or No ☐
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F. Regulatory Information:
1. Regulation section:
21 CFR §864.5260 Automated cell-locating devices
21 CFR §866.4700 Automated fluorescence in situ hybridization (FISH) Enumeration Systems
2. Classification:
Class II
3. Product code:
JOY
NTH
4. Panel:
Hematology (81) and Immunology (82)
G. Intended Use:
1. Indication(s) for Use:
The Duet™ System is an automated scanning microscope and image analysis system. It is intended for in vitro diagnostic use as an aiding tool to the pathologist in the detection, classification and counting of cells of interest based on color, intensity, size, pattern, and shape. The Duet™ System is intended to:
- Detect hematopoietic cells stained by Giemsa stain, immunohistochemistry or ISH (with bright field and fluorescent) prepared from cell suspension.
- Detect amniotic cells stained by FISH (using direct labeled DNA probes for chromosomes X, Y, 13, 18 and 21).
- Detect cells in urine specimens, stained by FISH (using the Vysis UroVysion™ Bladder Cancer Recurrence Kit for chromosomes 3, 7, 17 and 9p21 locus), from subjects with transitional cell carcinoma of the bladder.
- Identify/detect and quantify chromosome 17 and the HER-2/neu gene via fluorescence in situ hybridization (FISH) in interphase nuclei from formalin-fixed, paraffin embedded human breast cancer tissue specimens, probed by the Vysis®PathVision™ HER-2 DNA Probe Kit. The Duet™ is to be used as an adjunctive automated enumeration tool, in conjunction with manual visualization, to assist in determining HER-2/neu gene to chromosome 17 signal ratio.
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2. Special Conditions for Use Statement(s):
For prescription use.
H. Substantial Equivalence Information:
1. Predicate Device Name(s) and 510(k) numbers:
BioView Duet™ System K030192, K040591, K050840
Vysis AutoVysion™ System K041875
Applied Imaging Ariol HER-2/neu FISH System K041875
2. Comparison with Predicate Device:
| Similarities | | | | |
| --- | --- | --- | --- | --- |
| Item | Device | Predicate | | |
| Specimen type | Formalin-fixed paraffin-embedded human breast cancer tissue | BioView Duet | Vysis AutoVysion | Applied Imaging Ariol |
| | | N/A | Same | Same |
| Method of cell detection | Colorimetric pattern recognition by microscopic examination of prepared cells by size, shape, and intensity of counter-stained nuclei as observed by an automated computer controlled microscopic and/or visual observation by a health care professional. | Same | Same | Same |
| Detection Method | Fluorescence in situ hybridization (FISH) | Same | Same | Same |
| Intended use | Intended for in vitro diagnostic use as an aiding tool to the pathologist in the detection, classification and | Same | | Same |
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| Similarities | | | | |
| --- | --- | --- | --- | --- |
| Item | Device | Predicate | | |
| | counting of cells of interest based on color, intensity, size, pattern and shape | | | |
| Probe kit | Vysis PathVysion® HER-2 DNA Probe Kit | N/A | Same | Same |
| Device components | • PC workstation • Camera • Monitor • Microscope • Motorized Stage • Software | Same | Same | Same |
| Differences | | | | |
| --- | --- | --- | --- | --- |
| Item | Device | Predicate | | |
| Filters | DAPI/FITC/TRITC Green, Red, Yellow | BioView Duet | Vysis AutoVysion | Applied Imaging Ariol |
| | | Same | DAPI, Spectrum Green™ (SG) and Spectrum Orange™ (SO) | DAPI, Spectrum Green™ (SG) and Spectrum Orange™ (SO) |
| Microscope objectives | 10x, 20x, 40x, 63x | Same | 10x, 40x | 1.25x, 5x, 10x, 20x, 40x |
# I. Special Control/Guidance Document Referenced (if applicable):
FDA Guidance for Industry and FDA Staff - Class II Special Controls Guidance Document: Automated Fluorescence in situ Hybridization (FISH) Enumeration Systems.
General Principles of Software Validation; Final Guidance for Industry and FDA Staff
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# J. Performance Characteristics:
# 1. Analytical Performance:
a. Accuracy:
N/A
b. Precision/Reproducibility:
Five slides, which represent the range of the intended use were included in this study: two slides of the Vysis™ PathVysion™ negative control (target ratio 1.0), two slides of Vysis™ PathVysion™ mid-low amplified control (target ratio 1.8) near the medical decision point, and one highly amplified slide (target ratio $>2.3$ ).
Within Run: Each slide was analyzed three times on the same system within the same day.
Day-to-Day: Each slide was analyzed three times on different days.
Site-to-Site: Each slide was analyzed three times at different sites (different operator, different system, and different day)
Repeatability and Reproducibility for 3 FOVs
| | Slide ID | Mean | Standard Deviation | Coefficient of Variation (%) |
| --- | --- | --- | --- | --- |
| “Within Run” Repeatability | BV-1 | 1.72 | 0.10 | 5.61 |
| | BV-2 | 1.75 | 0.05 | 3.02 |
| | BV-3 | 1.04 | 0.02 | 2.21 |
| | BV-4 | 1.04 | 0.10 | 9.70 |
| | BV-5 | 6.25 | 0.81 | 12.90 |
| “Site to site” Reproducibility | BV-1 | 1.73 | 0.06 | 3.53 |
| | BV-2 | 1.81 | 0.17 | 9.27 |
| | BV-3 | 0.98 | 0.05 | 4.59 |
| | BV-4 | 1.06 | 0.08 | 7.12 |
| | BV-5 | 6.66 | 2.12 | 31.92 |
| “Day to day” Reproducibility | BV-1 | 1.77 | 0.08 | 4.41 |
| | BV-2 | 1.78 | 0.06 | 3.25 |
| | BV-3 | 1.02 | 0.01 | 0.56 |
| | BV-4 | 1.04 | 0.06 | 5.35 |
| | BV-5 | 6.03 | 0.70 | 11.70 |
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c. Linearity:
N/A
d. Carryover:
N/A
e. Interfering Substances:
N/A
2. Other Supportive Instrument Performance Data Not Covered Above:
a. Method Comparison with Manual Method:
The substantial equivalence studies were based on comparison to conventional manual microscopy performed in accordance with the Vysis PathVysion® HER-2/neu DNA Probe kit.
The comparison study was conducted at four clinical sites. The study included a total of 70 cases, consisting of 33 cases of normal (ratios $< 1.5$ ), 21 cases in the "borderline" range (ratios between 1.5 and 2.5) and 16 cases of high amplification (ratios $>2.5$ ). Ratios $\geq 2.0$ were interpreted as "FISH positive" or amplification present. Ratios $< 2.0$ were interpreted as "FISH negative" or no amplification.
For the manual method, the sites counted 20 cells and then calculated the average HER-2/chromosome 17 ratios. If the result was between 1.8 and 2.2, another 20 cells were counted (as per the reagent package insert recommendation) and the final ratio was based on the average from counting 40 cells. The same protocol was followed for the Duet method (automated). If the Duet reported a ratio between 1.8 and 2.2 with the first 20 cells, the operator was instructed to count another 20 cells and then the final average calculation from the 40 cells was reported.
Summary of pooled results for 3 FOV
| | Manual scoring | | | |
| --- | --- | --- | --- | --- |
| | | Amplification | - | + |
| With Duet Method | - | 48 | 1 | 49 |
| | + | 0 | 21 | 21 |
| | Total | 48 | 22 | 70 |
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Total agreement was found to be 99% (69/70) with 95% CI (92%, 100%). Negative percent agreement is 100% (48/48), 95% CI (93%, 100%) and positive percent agreement 96% (21/22), 95% CI (77%, 100%). The overall agreement as measured by Kappa was 99%, 95% CI (90%, 100%).
b. Optimal Number of Fields of View:
Method comparison studies and reproducibility and repeatability studies above were conducted using both 3 and 6 FOVs to evaluate the optimal performance of the Duet System using a minimal number of FOVs. The correlation between results obtained from the Duet System 3 and 6 FOV analyses revealed a correlation of .996, with R-square = .993. In addition, the constant was near 0 (0.0084) and non-significant (t = 0.207, p = 0.836). Therefore, 3 FOV provides results that are sufficient for the effective performance of the Duet System.
K. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
L. Conclusion:
1. The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
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Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
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Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
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Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
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Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
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Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
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A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
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The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.
