K091313 · Sysmex America, Inc. · GKZ · Mar 30, 2010 · Hematology
Device Facts
Record ID
K091313
Device Name
SYSMEX MODEL XT-4000I
Applicant
Sysmex America, Inc.
Product Code
GKZ · Hematology
Decision Date
Mar 30, 2010
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 864.5220
Device Class
Class 2
Indications for Use
The Sysmex® XT-4000i is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XT-4000i classifies and enumerates the following parameters for whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/# and TC-BF# parameters in cerebrospinal fluids (CSF), serous fluids (peritoneal, pleural) and synovial fluids. Serous and Synovial fluids should be collected in K2EDTA to prevent clotting of fluid. The use of anticoagulants with CSF specimens is not required or recommended.
Device Story
Automated hematology analyzer; processes whole blood and body fluid samples. Main unit aspirates, dilutes, mixes, and analyzes samples; sampler unit automates loading; IPU processes data/operator interface; pneumatic unit provides pressure/vacuum. Body Fluid (BF) mode uses 4DIFF scattergram and RBC distribution from specialized analysis sequence to calculate/display WBC-BF, RBC-BF, MN, PMN, and TC-BF counts. Used in clinical laboratories by trained personnel. Output displayed on IPU for clinical review; assists in hematological assessment and body fluid cell enumeration. Benefits include automated, standardized cell counting in body fluids, reducing manual microscopy requirements.
Clinical Evidence
Bench testing only. Studies evaluated accuracy, precision, linearity, and carryover for the Body Fluid mode. Results demonstrated performance equivalent to the XE-5000 Body Fluid mode.
Technological Characteristics
Automated hematology analyzer; dimensions 630x520x720mm; weight 59kg. Sensing: Hydrodynamic focusing (DC detection), flow cytometry (semiconductor laser), SLS-hemoglobin method. Reagents: CELLPACK, STROMATOLYSER-FB/4DL/4DS, SULFOLYSER, RET-SEARCH II. Connectivity: IPU for data processing and operator interface. Software: Automated analysis of scattergrams and distributions.
Indications for Use
Indicated for in vitro diagnostic screening of patients in clinical laboratories. Analyzes whole blood for hematological parameters and body fluids (CSF, serous, synovial) for cell counts (WBC-BF, RBC-BF, MN, PMN, TC-BF). Serous/synovial fluids require K2EDTA; CSF does not require anticoagulants.
Regulatory Classification
Identification
An automated differential cell counter is a device used to identify one or more of the formed elements of the blood. The device may also have the capability to flag, count, or classify immature or abnormal hematopoietic cells of the blood, bone marrow, or other body fluids. These devices may combine an electronic particle counting method, optical method, or a flow cytometric method utilizing monoclonal CD (cluster designation) markers. The device includes accessory CD markers.
Special Controls
*Classification.* Class II (special controls). The special control for this device is the FDA document entitled “Class II Special Controls Guidance Document: Premarket Notifications for Automated Differential Cell Counters for Immature or Abnormal Blood Cells; Final Guidance for Industry and FDA.”
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY INSTRUMENT ONLY TEMPLATE
A. 510(k) Number:
k091313
B. Purpose for Submission:
Modification of device for inclusion of body fluid mode.
C. Manufacturer and Instrument Name:
Sysmex America, Inc.
Sysmex® XT-4000i
D. Type of Test or Tests Performed:
Quantitative, Automated Hematology Analyzer
WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG% / #, RDW-CV, RDW-SD, MPV, RET%/#, IRF, RET-He
Body Fluid Mode:
WBC-BF, RBC-BF, MN%/#, PMN%/# and TC-BF#
E. System Descriptions:
1. Device Description:
The XT-4000i is the same as the XT-2000i which is part of the XT-Series and has a body Fluid mode the same as the XE-5000. It is an automated hematology analyzer which consists of four principle units: (1) Main Unit which aspirates, dilutes, mixes, and analyzes whole blood and body fluid samples; (2) Sampler Unit which supplies samples to the Main Unit automatically; (3) IPU (Information Processing Unit) which processes data from the Main Unit and provides the operator interface with the system; (4) Pneumatic Unit which supplies pressure and vacuum from the Main Unit.
The Body Fluid (BF) analysis mode of the XT-4000i uses the 4DIFF scattergram and the RBC distribution obtained from a specialized analysis sequence to calculate and display the WBC (WBC-BF) counts, mononuclear cell (MN) / polymorphonuclear cell (PMN) counts and percentages, TC-BF (Total Count) & RBC (RBC-BF) counts found in the body fluid.
2. Principles of Operation:
Performs hematology analyses according to the Hydro Dynamic Focusing (DC Detection), flow cytometry method (using a semiconductor laser), and SLS-hemoglobin method.
3. Modes of Operation:
(1) Manual Mode: the caps of the sample tubes are manually removed and each sample is aspirated via the whole blood aspiration pipette.
(2) Sampler Mode: The sampler automatically mixes, aspirates and analyzes samples without removing their caps. Up to 50 samples can be loaded at a time and analyzed automatically.
(3) Manual Closed Mode: The sampler is used to aspirate the sample without opening the cap of the sample tube. This mode is basically the same as the manual mode; mixing and continuous analysis cannot be performed
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automatically.
(4) Capillary Mode: an analysis is performed after diluting the sample to 1:5 ratio. This mode is used in analyzing a minute amount of blood collected from the earlobe or fingertip. The method used to aspirate the sample is the same as that used in manual and body fluid modes.
(5) Body Fluid Mode: The body fluid mode is used exclusively for measuring the number of blood cells contained in body fluid. Sample aspiration is performed in the same method as for the manual mode.
4. Specimen Identification:
Specimen information is managed by four menu lists and specimen identification input is manual (operator entered) or by barcode reader.
5. Specimen Sampling and Handling:
Specimens are processed manually.
6. Calibration:
Calibration is carried out by entering calibration values into the unit. This calibration is performed for the WBC, RBC, HGB, HCT, PLT and PLT-O parameters. WBC Diff parameters are factory calibrated prior to shipment and verified by Sysmex technical representative on installation. The instrument does not need to be calibrated in the laboratory.
7. Quality Control:
Body fluid controls are not available. Whole blood control materials are recommended.
8. Software:
FDA has reviewed applicant’s Hazard Analysis and Software Development processes for this line of product types:
Yes ☐ X ☑ or No ☐
F. Regulatory Information:
1. Regulation section:
21 CFR 864.5220 - Automated differential cell counter
2. Classification:
Class II
3. Product code:
GKZ - Counter, Differential Cell
4. Panel:
81 Hematology
G. Intended Use:
1. Indication(s) for Use:
The Sysmex XT-400i is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patients found in clinical laboratories. The XT-4000i classifies and enumerates the following parameters for whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CV. RDW-SD, MPV, RET%/#, IRF, RET-He, and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/# and TC-BF# parameters in cerebrospinal fluids (CSF), serous fluids (peritoneal, pleural) and synovial fluids. Serous and synovial fluids should be
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collected in K₂EDTA to prevent clotting of fluid. The use of anticoagulants with CSF specimens is not required or recommended.
2. Special Conditions for Use Statement(s): None
H. Substantial Equivalence Information:
1. Predicate Device Name(s) and 510(k) numbers:
Sysmex XT-Series k021241
Sysmex XE-5000 k071967 (Body Fluid Mode)
2. Comparison with Predicate Device:
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| Similarities | | | |
| --- | --- | --- | --- |
| Item | DeviceXT-4000i | Predicate 1XT-Series (K061150) | Predicate 2XE-5000 (K071967) |
| Intended Use | The Sysmex® XT-4000i is a quantitative multi-parameter automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XT-4000i classifies and enumerates the following parameters for whole blood: WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, IG%/#, RDW-CD, RDW-SD, MPV, RET%/#, IRF, RET-He and has a Body Fluid mode for body fluids. The Body Fluid mode enumerates the WBC-BF, RBC-BF, MN%/#, PMN%/# and TC-BF parameters in cerebrospinal fluids (CSF), serous fluids (peritoneal, pleural) and synovial fluids. Serous and Synovial fluids should be collected in K2EDTA to prevent clotting of fluid. The use of anticoagulants with CSF specimens is not required or recommended. | The Sysmex® XT-Series, Hematology Analyzer, is a quantitative automated hematology analyzer and leukocyte differential counter for in vitro diagnostic use in clinical laboratories. The XT-Series Body Fluid Application adds a quantitative, automated procedure for analyzing body fluids such as cerebrospinal fluid, serous fluid an synovial fluid to the XT-Series, providing enumeration of the WBCs and the RBCs. | The Sysmex® XE-5000 is an automated hematology analyzer intended for in vitro diagnostic use in screening patient populations found in clinical laboratories. The XT-5000 classifies and enumerates the same parameters as the XE-2100 using whole blood as described below, cord blood for HPC and has a Body Fluid mode for body fluids. The Body Fluid mode analyzes WBC-BF, RBC-BF, MN%/#, PMN%/# and TC-BF in body fluids CSF, serous fluids and synovial fluids with EDTA as needed). WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, NRBC, RDW-SD, RDW-CV, MPV, RET%/#, IRF, IG%/#, HPC#, RET-He, IPF, WBC-BF, RBC-BF, MN%/#, PMN%/#,TC-BF |
| Principle of Measurement | Performs hematology analyses according to the Hydro Dynamic Focusing (DC Detection), flow cytometry method (using a semiconductor laser), and SLS-hemoglobin method. | Same as XT-4000i | Same as XT-4000i with the addition of the RF/DC detection method |
| Calibrator | Calibrator (X Cal) | Same as XT-4000i | Same as XT-4000i |
| Sample types | Whole blood Body Fluids | Same as XT-4000i | Same as XT-4000i |
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| Differences | | | |
| --- | --- | --- | --- |
| Item | DeviceXT-4000i | Predicate 1XT-Series (K061150) | Predicate 2XE-5000 (K071967) |
| IVD Parameters | WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, IG%/#, RET-He#WBC-BF, RBC-BF, MN%/#, PMN%/#, TC-BF | WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, NEUT%/#, LYMPH%/#, MONO%/#, EO%/#, BASO%/#, RDW-CV, RDW-SD, MPV, RET%/#, IRF, IG%/#, RET-He#WBC-BF, RBC-BF | Same as XT-4000i |
| Quality Control | e-Check (XE) – 3 Levels | e-Check – 3 Levels | Same as XT-4000i |
| Throughput | Approximately 80-100 whole blood specimens/hr depending on mode used. Approximately 38 body fluid specimens/hr | Approximately 80 whole blood and/or body fluid specimens/hr depending on mode used | Approximately 113-150 whole blood specimens/hr depending on mode used. Same body fluid throughput as XT-4000i |
| Software/Hardware Differences | Has a Body Fluid Mode | Has a Body Fluid Application | Same as XT-4000i |
| Reagents | CELLPACK™(Diluent)STROMATOLYSER-FB™(Lyse)STROMATOLYSER-4DL™(Lyse)STROMATOLYSER-4DS™(Stain)SULFOLYSER (Lyse)RET-SEARCH II (Diluent)RET-SEARCH II (Stain) | Same as XT-4000i | Same as XT-4000i and in addition uses: CELLSHEATH™(Diluent)STROMATOLYSER-NR™(Diluent)STROMATOLYSER-NR™(Stain)STROMATOLYSER-IM™(Lyse) |
| Dimensions (HxWxD) mm | 630 x 520 x 720 | Same as XT-4000i | 711 x 706 x 535 |
| Weight (kg) | 59 | Same as XT-4000i | 81 |
# I. Special Control/Guidance Document Referenced (if applicable):
1. CLSI Document C28-A2 "How to Define and Determine Reference Intervals in the Clinical Laboratory; Approved Guideline—Second Edition. 2008. CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
2. CLSI Document C49-A. "Analysis of Body Fluids in Clinical Chemistry; Approved Guideline". 2007. CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
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3. CLSI Document. EP5-A2. Evaluation of Precision Performance of Clinical Chemistry Devices; Approved Guideline—Second Edition". 2004. CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
4. CLSI Document EP9-A2. "Method Comparison and Bias Estimation Using Patient Samples; Approved Guidelines—Second Edition". 2002. CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
5. CLSI EP10-A3, Preliminary Evaluation of Quantitative Clinical Laboratory Measurement Procedures; Approved Guideline 3rd Edition CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
6. CLSI Document EP15-A2. "User Demonstration of Performance for Precision and Accuracy; Approved Guideline—Second Edition". 2005CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
7. CLSI Document H56-A. "Body Fluid Analysis for Cellular Composition; Approved Guideline". 2006. CLSI, 940 West Valley Road, Suite 1400, Wayne, PA 19087-1898.
8. FDA. Class II Special Controls Guidance Document: Premarket Notifications for Automated Differential Cell Counters for Immature or Abnormal Blood Cells; Final Guidance for Industry and FDA. Issued December 4, 2001.
9. ICSH. Guidelines for the evaluation of blood cell analyzers including those used for differential leukocyte and reticulocyte counting and cell marker applications. Clin Lab. Haemat. 1994, 16, 157-174.
10. Kjelksberg C. and Knight J. Body Fluids: Laboratory Examination of Cerebrospinal, Seminal, Serous & Synovial Fluids. 3rd edition. Chicago, IL: ASCP Press, 1993.
J. Performance Characteristics:
1. Analytical Performance:
a. Accuracy:
Accuracy studies were performed on 389 samples at three sites and run on the XE-5000 and the XT-4000i for the WBC-BF, RBC-BF, TC-BF, MN%/# and PMN%/# parameters. Unselected residual body fluid specimens were collected and consisted of 100 cerebrospinal fluid (CSF), 70 synovial fluid, 85 pleural fluid and 134 peritoneal fluid specimens. Each body fluid specimen was run once on the XE-5000 and then the XT-4000i according to CLSI EP09-A2.
Conclusion: Method comparison testing for all parameters met manufacturer's specifications. Regression analysis demonstrated that WBC-BF, RBC-BF, TC-BF, MN# and PMN# slopes were within 1.01 – 1.05, intercepts were within -0.01 – 0.01, and correlation coefficients >0.990. MN% and PMN% slopes were within 0.98 – 0.99, intercepts were within -1.1 – 2.6, and correlation coefficients >0.93.
Bias
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Bias studies were performed on 392 samples across three sites and run on the XE-5000 and the XT-4000i for the WBC-BF, RBC-BF, TC-BF, MN%/# and PMN%/# parameters. Studies were performed in accordance with CLSI EP09-A2, Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline. Unselected residual body fluid specimens were collected and consisted of 100 cerebrospinal fluid (CSF), 72 synovial fluid, 87 pleural fluid and 133 peritoneal fluid specimens. Each body fluid specimen was run once on the XE-5000 and then the XT-4000i. Estimation of Bias was determined for all sites combined. Acceptance criteria for each parameter are listed in the table below and all parameters were found to be within manufacturer's specifications.
Bias performance criteria
| Parameter | Units | Analysis Range | Bias% |
| --- | --- | --- | --- |
| WBC-BF | x 103/μL | 0.004-10.000 | ± 15% |
| RBC-BF | x 108/μL | 0.001-5.000 | ± 500 or ± 6.0% |
| TC-BF | x 103/μL | 0.004-10.000 | ± 15% |
| MN# | x 103/μL | 0.004-10.000 | ± 3SD |
| MN% | % | 0.00-100.00 | ± 3SD |
| PMN# | x 103/μL | 0.004-10.000 | ± 3SD |
| PMN% | % | 0.00-100.00 | ± 3SD |
Bias by Body Fluid Type
| Site | Fluid Type | Parameter | Units | Mean Difference | %Difference or SD | Bias Limits |
| --- | --- | --- | --- | --- | --- | --- |
| ALL SITES COMBINED | CSF | WBC-BF | x 103/μL | 0.0148 | 5.9 | ± 15% |
| | | TC-BF | x 103/μL | 0.0162 | 6.4 | ± 15% |
| | | RBC | x 108/μL | 0.0005 | 0.4 | ± 500 or ± 6% |
| | | PMN# | x 103/μL | 0.0098 | 1SD | ± 3 SD |
| | | PMN% | % | 1.5 | 1SD | ± 3 SD |
| | | MN# | x 103/μL | 0.0049 | 1SD | ± 3 SD |
| | | MN% | % | -1.4 | 1SD | ± 3 SD |
| | Pleural | WBC-BF | x 103/μL | 0.0570 | 6.5 | ± 15% |
| | | TC-BF | x 103/μL | 0.0404 | 4.2 | ± 15% |
| | | RBC | x 108/μL | 0.0005 | 0.6 | ± 500 or ± 6% |
| | | PMN# | x 103/μL | 0.0333 | 1SD | ± 3 SD |
| | | PMN% | % | 1.3 | 1SD | ± 3 SD |
| | | MN# | x 103/μL | 0.0237 | 1SD | ± 3 SD |
| | | MN% | % | -1.3 | 1SD | ± 3 SD |
| | Peritoneal | WBC-BF | x 103/μL | 0.0040 | 1.0 | ± 15% |
| | | TC-BF | x 103/μL | 0.0042 | 1.0 | ± 15% |
| | | RBC | x 108/μL | -0.0005 | -3.8 | ± 500 or ± 6% |
| | | PMN# | x 103/μL | 0.0004 | 1SD | ± 3 SD |
| | | PMN% | % | 3.59 | 1SD | ± 3 SD |
| | | MN# | x 103/μL | -0.0023 | 1SD | ± 3 SD |
| | | MN% | % | -3.59 | 1SD | ± 3 SD |
| | Synovial | WBC-BF | x 103/μL | 0.1128 | 5.3 | ± 15% |
| | | TC-BF | x 103/μL | 0.1055 | 4.8 | ± 15% |
| | | RBC | x 108/μL | 0.0002 | 0.1 | ± 500 or ± 6% |
| | | MN# | x 103/μL | 0.0002 | 1SD | ± 3 SD |
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| | | PMN#
PMN%
MN#
MN% | x 10³/μL
%
x 10³/μL
% | 0.0691
0.4
0.0350
-0.4 | 1SD
1SD
1SD
1SD | ± 3 SD
± 3 SD
± 3 SD |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
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b. Precision/Reproducibility:
Repeatability Testing
Residual body fluids that covered the whole measuring range for each of the body fluid types for the WBC-BF, RBC-BF and TC-BF parameters were assayed 10 consecutive times at the upper and lower range. The mean, standard deviation and coefficient variance were calculated. Specimen with clots or that had insufficient volume were rejected. The specimens were comprised of CSF (N=4), Synovial fluid (N=4), Pleural fluid (N=5) and Peritoneal fluid (N=4) specimens. Each body fluid specimen was run 10 consecutive times on the XT-4000i. Studies were performed in accordance with CLSI EP10-A3, Preliminary Evaluation of Quantitative Clinical Laboratory Measurement Procedures; Approved Guideline 3rd Edition. Acceptance criteria for each parameter are listed in the tables below and were found to be within manufacturer's specifications.
Repeatability WBC, RBC, TC
| CSF | UNITS | MEAN | SD | CV% | LIMIT CV% | RANGE* |
| --- | --- | --- | --- | --- | --- | --- |
| WBC-BF | x 10³/μL | 0.0049 | 0.0007 | 15.1 | ≤30 | 0.0049-10.6662 |
| | x 10³/μL | 10.6662 | 0.2111 | 2.0 | ≤30 | |
| RBC-BF** | x 10⁶/μL | 0.0048 | 0.0004 | 8.8 | ≤40 | 0.0048-7.1082 |
| | x 10⁶/μL | 7.1082 | 0.0251 | 0.4 | ≤40 | |
| TC-BF | x 10³/μL | 0.0049 | 0.0007 | 15.1 | ≤30 | 0.0049-10.6724 |
| | x 10³/μL | 10.6724 | 0.2115 | 2.0 | ≤30 | |
| PLEURAL | | | | | | |
| WBC-BF | x 10³/μL | 0.0507 | 0.0041 | 8.1 | ≤30 | 0.0507-10.8865 |
| | x 10³/μL | 10.8865 | 0.1557 | 1.4 | ≤30 | |
| RBC-BF** | x 10⁶/μL | 0.0068 | 0.0004 | 6.2 | ≤40 | 0.0068-4.5363 |
| | x 10⁶/μL | 4.5363 | 0.0189 | 0.4 | ≤40 | |
| TC-BF | x 10³/μL | 0.0507 | 0.0041 | 8.1 | ≤30 | 0.0507-6.2611 |
| | x 10³/μL | 6.2611 | 0.1101 | 1.8 | ≤30 | |
| | | | | | | |
| PERITONEAL | | | | | | |
| WBC-BF | x 10³/μL | 0.5559 | 0.0204 | 3.7 | ≤30 | 0.5559-11.9384 |
| | x 10³/μL | 11.9384 | 0.1774 | 1.5 | ≤30 | |
| RBC-BF** | x 10⁶/μL | 0.0134 | 0.0007 | 5.2 | ≤40 | 0.0134-5.7646 |
| | x 10⁶/μL | 5.7646 | 0.0205 | 0.4 | ≤40 | |
| TC-BF | x 10³/μL | 0.5571 | 0.0205 | 3.7 | ≤30 | 0.5571-12.07 |
| | x 10³/μL | 12.072 | 0.1762 | 1.5 | ≤30 | |
| SYNOVIAL | | | | | | |
| WBC-BF | x 10³/μL | 0.2743 | 0.182 | 6.6 | ≤30 | 0.2743-10.9545 |
| | x 10³/μL | 10.9545 | 0.3467 | 3.2 | ≤30 | |
| RBC-BF** | x 10⁶/μL | 0.0050 | 0.0000 | 0.0 | ≤40 | 0.0050-7.3403 |
| | x 10⁶/μL | 7.3403 | 0.0438 | 0.6 | ≤40 | |
| TC-BF | x 10³/μL | 0.2756 | 0.0184 | 6.7 | ≤30 | 0.2756-8.3766 |
| | x 10³/μL | 8.3766 | 0.1725 | 2.1 | ≤30 | |
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Repeatability (MN%, MN#, PMN%, PMN#)
| CSF | UNITS | MEAN | SD | CV% | LIMIT CV% | RANGE* |
| --- | --- | --- | --- | --- | --- | --- |
| MN# | x 10^1/μL | 5.0415 | 0.0942 | 1.9 | ≤30 | 0.0021-5.0415 |
| | x 10^1/μL | 0.0021 | 0.0006 | 27.0 | ≤30 | |
| MN% | % | 47.29 | 0.40 | 0.8 | ≤30 | 43.33-47.29 |
| | % | 43.33 | 11.22 | 25.9 | ≤30 | |
| PMN# | x 10^1/μL | 5.6247 | 0.1306 | 2.3 | ≤30 | 0.0028-5.6247 |
| | x 10^1/μL | 0.0028 | 0.0008 | 28.2 | ≤30 | |
| PMN% | % | 52.74 | 0.37 | 0.7 | ≤30 | 52.74-56.67 |
| | % | 56.67 | 11.22 | 19.8 | ≤30 | |
| PLEURAL | | | | | | |
| MN# | x 10^1/μL | 2.5882 | 0.0434 | 1.7 | ≤30 | 0.0137-2.5882 |
| | x 10^1/μL | 0.0137 | 0.0028 | 20.4 | ≤30 | |
| MN% | % | 41.43 | 0.57 | 1.4 | ≤30 | 27.30-41.43 |
| | % | 27.30 | 6.34 | 23.2 | ≤30 | |
| PMN# | x 10^1/μL | 3.6576 | 0.0821 | 2.2 | ≤30 | 0.0370-3.6576 |
| | x 10^1/μL | 0.0370 | 0.0056 | 15.1 | ≤30 | |
| PMN% | % | 58.57 | 0.57 | 1.0 | ≤30 | 58.57-72.70 |
| | % | 72.70 | 6.34 | 8.7 | ≤30 | |
| PERITONEAL | | | | | | |
| MN# | x 10^1/μL | 4.6729 | 0.0703 | 1.5 | ≤30 | 0.2456-4.6729 |
| | x 10^1/μL | 0.2456 | 0.0139 | 5.7 | ≤30 | |
| MN% | % | 38.72 | 0.54 | 1.4 | ≤30 | 38.72-44.20 |
| | % | 44.20 | 1.72 | 3.9 | ≤30 | |
| PMN# | x 10^1/μL | 7.3957 | 0.1560 | 2.1 | ≤30 | 0.3103-7.3957 |
| | x 10^1/μL | 0.3103 | 0.0141 | 4.5 | ≤30 | |
| PMN% | % | 61.28 | 0.54 | 0.9 | ≤30 | 55.83-61.28 |
| | % | 55.83 | 1.76 | 3.1 | ≤30 | |
| SYNOVIAL | | | | | | |
| MN# | x 10^1/μL | 4.7317 | 0.0926 | 2.0 | ≤30 | 0.1180-4.7317 |
| | x 10^1/μL | 0.1180 | 0.0073 | 6.2 | ≤30 | |
| MN% | % | 56.44 | 0.47 | 0.8 | ≤30 | 43.10-56.44 |
| | % | 43.10 | 2.75 | 6.4 | ≤30 | |
| PMN# | x 10^1/μL | 3.6514 | 0.1026 | 2.8 | ≤30 | 0.1563-3.6514 |
| | x 10^1/μL | 0.1563 | 0.0159 | 10.2 | ≤30 | |
| PMN% | % | 43.56 | 0.47 | 1.1 | ≤30 | 43.56-56.90 |
# Reproducibility
Three (3) levels of low, medium and high range quality controls were assayed 10 consecutive times in the Body Fluid mode. The mean, standard deviation and coefficient variance was calculated. Studies were performed in accordance with CLSI EP10-A3, Preliminary Evaluation of Quantitative Clinical Laboratory Measurement Procedures; Approved Guideline $3^{rd}$ Edition. All results met the acceptable limits of the Manufacturer's Calibration/Verification Specifications for precision as indicated in the table below.
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Precision (Reproducibility) WBC-BF, RBC-BF, MN#/%, PMN#/% Quality Control Low, Medium, High
| Analyte | Sample | N | Mean | SD | CV% | Manufacturer Spec CV% | PASS/FAIL |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WBC-BF | QC 1 | 10 | 2.9301 | 0.0510 | 1.7 | ≤3.0% | PASS |
| WBC-BF | QC 2 | 10 | 6.6443 | 0.1161 | 1.7 | ≤3.0% | PASS |
| WBC-BF | QC 3 | 10 | 17.0886 | 0.2866 | 1.7 | ≤3.0% | PASS |
| RBC-BF | QC 1 | 10 | 2.2536 | 0.0110 | 0.5 | ≤1.5% | PASS |
| RBC-BF | QC 2 | 10 | 4.3244 | 0.0072 | 0.2 | ≤1.5% | PASS |
| RBC-BF | QC 3 | 10 | 5.2748 | 0.0177 | 0.3 | ≤1.5% | PASS |
| MN# | QC 1 | 10 | 0.9241 | 0.0336 | 3.6 | ≤20.0% | PASS |
| MN# | QC 2 | 10 | 2.5049 | 0.1132 | 4.5 | ≤20.0% | PASS |
| MN# | QC 3 | 10 | 5.3420 | 0.1577 | 3.0 | ≤20.0% | PASS |
| MN% | QC 1 | 10 | 31.87 | 0.83 | 2.6 | ≤20.0% | PASS |
| MN% | QC 2 | 10 | 37.71 | 1.61 | 4.3 | ≤20.0% | PASS |
| MN% | QC 3 | 10 | 32.75 | 0.94 | 2.9 | ≤20.0% | PASS |
| PMN# | QC 1 | 10 | 1.9834 | 0.0494 | 2.5 | ≤8.0% | PASS |
| PMN# | QC 2 | 10 | 4.1394 | 0.1344 | 3.2 | ≤8.0% | PASS |
| PMN# | QC 3 | 10 | 11.5464 | 0.2306 | 2.0 | ≤8.0% | PASS |
| PMN% | QC 1 | 10 | 68.11 | 0.78 | 1.1 | ≤8.0% | PASS |
| PMN% | QC 2 | 10 | 62.29 | 1.61 | 2.6 | ≤8.0% | PASS |
| PMN% | QC 3 | 10 | 67.25 | 0.94 | 1.4 | ≤8.0% | PASS |
| TC-BF | QC 1 | 10 | 2.9336 | 0.0503 | 1.7 | ≤3.0% | PASS |
| TC-BF | QC 2 | 10 | 6.6582 | 0.1165 | 1.7 | ≤3.0% | PASS |
| TC-BF | QC 3 | 10 | 17.1101 | 0.2874 | 1.7 | ≤3.0% | PASS |
# c. Linearity:
Linearity testing was performed at two sites, using serial dilutions of body fluid samples made to represent the full range of linearity. The expected values were plotted against obtained results and both low and high values were calculated. Specimens that represented the high end of the reportable range and had sufficient volume were selected for testing. Specimens with clots or insufficient volume were rejected. For WBC-BF, RBC-BF, TC-BF, the following specimen types were included in the study: CSF $(N = 2)$ , Synovial fluid $(N = 3)$ , Pleural fluid $(N = 2)$
{11}
and Peritoneal fluid $(N = 2)$ . For MN and PMN parameters: CSF $(N = 2)$ , Synovial fluid $(N = 2)$ , Pleural fluid $(N = 2)$ and Peritoneal fluid $(N = 2)$ . Each linearity dilution was assayed twice.
All results met manufacturer's specifications as described in the tables below and were within manufacturer's specifications for all parameters.
Linearity acceptance criteria
| Linearity - Body Fluid Mode | Acceptance Criteria |
| --- | --- |
| WBC-BF | Within ± 0.01 x103/uL (0.001-0.050 x103/uL) Within ± 20% (0.050-10.000 x103/uL) |
| RBC-BF | Within ± 3% or ± 0.03 x106/uL (0.001-5.000 x106/uL) |
| TC-BF | Within ± 0.01 x103/uL (0.001-0.050 x103/uL) Within ± 20% (0.050-10.000 x103/uL) |
| MN# | Within ± 0.01 x103/uL (0.001-0.050 x103/uL) Within ± 20% (0.050-10.000 x103/uL) |
| PMN# | Within ± 0.01 x103/uL (0.001-0.050 x103/uL) Within ± 20% (0.050-10.000 x103/uL) |
Linearity Results
| CSF | UNITS | r2 | r | Slope | Intercept | Range * |
| --- | --- | --- | --- | --- | --- | --- |
| WBC-BF | x 103/μL | 1.000 | 1.000 | 0.988 | -0.002 | 0.001-11.394 |
| RBC-BF | x 106/μL | 1.000 | 1.000 | 1.007 | -0.001 | 0.001-6.852 |
| TC-BF | x 103/μL | 1.000 | 1.000 | 0.989 | -0.003 | 0.001-11.556 |
| MN# | x 103/μL | 1.000 | 1.000 | 0.9887 | 0.0072 | 0.002-17.148 |
| PMN# | x 103/μL | 1.000 | 1.000 | 1.0092 | -0.0063 | 0.000-11.373 |
| Pleural | | | | | | |
| WBC-BF | x 103/μL | 1.000 | 1.000 | 1.002 | 0.000 | 0.001-10.416 |
| RBC-BF | x 106/μL | 1.000 | 1.000 | 1.000 | 0.000 | 0.001-4.510 |
| TC-BF | x 103/μL | 0.999 | 0.999 | 0.997 | -0.024 | 0.001-10.414 |
| MN# | x 103/μL | 1.000 | 1.000 | 0.9818 | 0.0074 | 0.001-11.003 |
| PMN# | x 103/μL | 1.000 | 1.000 | 1.0018 | -0.0034 | 0.000-8.487 |
| Peritoneal | | | | | | |
| WBC-BF | x 103/μL | 1.000 | 1.000 | 1.007 | -0.002 | 0.001-7.853 |
| RBC-BF | x 106/μL | 1.000 | 1.000 | 1.003 | 0.000 | 0.001-5.048 |
| TC-BF | x 103/μL | 1.000 | 1.000 | 1.007 | -0.002 | 0.001-7.942 |
| MN# | x 103/μL | 1.000 | 1.000 | 0.9858 | -0.0034 | 0.001-14.341 |
| PMN# | x 103/μL | 1.000 | 1.000 | 1.0098 | -0.0046 | 0.000-8.772 |
| Synovial | | | | | | |
| WBC-BF | x 103/μL | 0.9900 | 1.00 | 1.0082 | 0.0178 | 0.001-11.201 |
| RBC-BF | x 106/μL | 1.0000 | 1.00 | 0.9980 | 0.0006 | 0.002-6.226 |
| TC-BF | x 103/μL | 1.000 | 1.000 | 1.017 | -0.008 | 0.001-8.308 |
| MN# | x 103/μL | 1.000 | 1.000 | 1.0170 | -0.0110 | 0.002-9.343 |
| PMN# | x 103/μL | 1.000 | 1.000 | 0.9762 | 0.0046 | 0.001-11.448 |
{12}
13
d. Carryover:
Body fluid counts (WBC, RBC and TC) with High to Low carryover were measured at two sites. Three (3) body fluid samples with a high cell count were analyzed three consecutive times (H1, H2, H3) followed immediately by testing a sample with a low cell count consecutively three times (L1, L2, L3) for each body fluid type. Specimens that represented the high and low end of the reportable range and had sufficient volume were selected. Specimen with clots or had insufficient volume were rejected. Carryover studies were performed using the following specimen types: CSF (N=3), Synovial fluid (N=3), Pleural fluid (N=2) and Peritoneal fluid (N=1).
The studies indicate that the device met the manufacturer’s acceptance criteria for each parameter as listed below.
WBC-BF: ≤0.3%, or 0.001 x10³/uL
RBC-BF: ≤0.3%, or 0.003 x10⁶/uL
TC-BF#: ≤0.3%, or 0.001 x10³/uL
e. Interfering Substances:
The sponsor provided reference publications to support claims of interfering substances. Fat globules, crystals and high viscous synovial fluids may cause erroneous or misleading results. (Source: Kjeldsberg C. and Knight J. Body Fluids: Laboratory Examination of Cerebrospinal, Seminal, Serous & Synovial Fluids. 3rd Ed. Chicago, IL: ASCP Press, 1993. Pages 266-270.)
2. Other Supportive Instrument Performance Data Not Covered Above: Limit of Blank
The instrument diluent (Cellpack) was used as a blank and run 60 consecutive times in the body fluid analysis mode. Samples with target concentrations were run 60 consecutive times. Limits of Blank (LoB) and Limits of Detection (LoD) were determined using a protocol based on CLSI EP17-A. Specimens containing clots or insufficient volume were rejected. The LoB studies were performed with the following specimen types: CSF fluids (N=3), Synovial (N=3), Serous fluid (N=3). Sixty replicates were tested for each LoB and LoD at a single site.
The Mean, SD and LoB were calculated from the WBC-BF, TC-BF, RBC-BF, MN# and PMN# results. The LoB was calculated as: $\mathrm{LoB} = \mathrm{Mean} + (1.645 \times \mathrm{SD})$ . Results for LoB studies are found in the table below.
| Limit of Blank | | | | |
| --- | --- | --- | --- | --- |
| Diluent | WBC-BF and TC-BF cells/μL | RBC-BFx10⁶/μL | MN# | PMN# |
| Mean | 0.166 | 0 | 0.16 | 0 |
| SD | 0.38 | 0 | 0.38 | 0.2 |
| LOB | 0.78 | 0 | 0.6 | 0.5 |
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14
# Limit of Detection and Limit of Quantitation
The data in the Limit of Detection (LoD) table was obtained from running samples with the target WBC-BF and TC-BF values of 3, 5 and 10 cells/μL and target RBC-BF values of 2 and 5 cells x 10³/μL, MN# target values of 1 and 5 cells/μL and PMN# target values of 3 and 5 cells/μL. Specimens were analyzed 60 consecutive times in the Body Fluid Mode. The Mean, SD and limit of detection were calculated from the WBC-BF, TC-BF, RBC-BF, MN# and PMN# results. The limit of detection was calculated as: LoD=LoB + (1.645 x SD). The estimate of bias and imprecision was determined using the mean and standard deviation results from the LoD study. The estimate of total error was less than the manufacturer's goal of 5 cells/μL for the WBC-BF, TC-BF, RBC-BF, MN# and PMN# and therefore the Limit of Quantitation (LoQ) is equal to the LoD.
## Limit of Detection and Limit of Quantitation
| | WBC-BF and TC-BF Target = 3cells/μL | WBC-BF and TC-BF Target = 5 cells/μL | WBC-BF (or TC-BF) Target =10 cells/μL | RBC-BF Target = 2 x10³/μL | RBC-BF Target = 5 x10³/μL | MN# Target = 1 cells/μL | MN# Target = 5 cells/μL | PMN# Target = 3 cells/μL | PMN# Target = 5 cells/μL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Mean | 2.47 | 4.88 | 9.83 | 1.82 | 3.90 | 1.32 | 4.97 | 3.62 | 4.87 |
| SD | 1.23 | 1.52 | 1.74 | 0.39 | 0.40 | 1.03 | 1.38 | 1.35 | 1.44 |
| LoD | 2.80 | 3.28 | 3.64 | 0.64 | 0.66 | 2.30 | 2.86 | 2.83 | 2.83 |
| LoQ* | 2.80 | 3.28 | 3.64 | 0.64 | 0.66 | 2.30 | 2.86 | 2.83 | 2.83 |
## K. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
## L. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
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.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
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.
3. Judging fuzzy relevance
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.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
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.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
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.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
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.