K100607 · Beckman Coulter, Inc. · JPK · Nov 18, 2010 · Hematology
Device Facts
Record ID
K100607
Device Name
COULTER 4C-EX 300 CELL CONTROL
Applicant
Beckman Coulter, Inc.
Product Code
JPK · Hematology
Decision Date
Nov 18, 2010
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 864.8625
Device Class
Class 2
Indications for Use
4C®-EX 300 Cell Control is a hematology quality control material used to monitor the performance of COULTER® hematology analyzers listed in the TABLE OF EXPECTED RESULTS in conjunction with specific COULTER reagents (Refer to your instrument specific instructions for use). The assigned values and expected ranges on the TABLE OF EXPECTED RESULTS can be used to monitor instrument performance. This product can also be used to establish your own laboratory mean.
Device Story
4C®-EX 300 Cell Control is a stabilized human blood-based quality control mixture; contains treated erythrocytes, platelet-sized components, and fixed erythrocytes simulating leukocytes. Used in clinical laboratories to monitor daily performance of automated hematology analyzers (DxH™ 300/300C). Provided in three levels (Abnormal Low, Normal, Abnormal High). Laboratory personnel run the control through the analyzer; instrument measures counting, sizing, and hemoglobin determination. Output is compared against assigned values and expected ranges provided in the Table of Expected Results. Monitoring ensures instrument accuracy and precision; allows laboratories to establish their own mean. Benefits include verification of system performance and reliability of patient test results.
Clinical Evidence
No clinical data. Bench testing only. Precision/reproducibility studies were conducted on DxH 300 and DxH 300C analyzers across three sites over 20 days, following CLSI EP05-A2. Results met all pre-defined acceptance criteria for CV% across all levels (Abnormal Low, Normal, Abnormal High). Stability studies (open and closed vial) confirmed performance over the claimed shelf life.
Technological Characteristics
Stabilized human blood-based mixture; contains treated erythrocytes, stabilized platelet-sized components, and fixed erythrocytes. Liquid, ready-to-use reagent. Three levels of concentration. Analyzed via automated cell/differential counters using counting, sizing, and hemoglobin determination principles. Storage at 2-8°C. Open vial stability: 35 days/20 events; Closed vial stability: 145 days.
Indications for Use
Indicated for use as a hematology quality control material to monitor the performance of specific COULTER hematology analyzers and to establish laboratory means.
Regulatory Classification
Identification
A hematology quality control mixture is a device used to ascertain the accuracy and precision of manual, semiautomated, and automated determinations of cell parameters such as white cell count (WBC), red cell count (RBC), platelet count (PLT), hemoglobin, hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC).
Special Controls
*Classification.* Class II (special controls). Except when intended for use in blood components, the device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 864.9.
Predicate Devices
COULTER® 4C®-ES Cell Control (k010064)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k100607
B. Purpose for Submission:
Addition of a new parameter - RDW-SD (Red Cell Distribution Width-Standard Deviation) to the COULTER® 4C®-EX 300 Cell Control.
C. Measurand:
WBC, RBC, Hgb, Hct, MCV, MCH, MCHC, RDW, RDW-SD, Plt, MPV and [LY (%)/#), MO (%)/#), GR (%)/#)].
D. Type of Test:
Quantitative
E. Applicant:
Beckman Coulter, Inc.
F. Proprietary and Established Names:
COULTER® 4C®-EX 300 Cell Control
G. Regulatory Information:
1. Regulation section:
21 CFR § 864.8625, Hematology quality control mixture
2. Classification:
Class II
3. Product code:
JPK, Mixture, hematology quality control
4. Panel:
Hematology (81)
H. Intended Use:
1. Intended use(s):
4C®-EX 300 Cell Control is a hematology quality control material used to monitor the performance of COULTER® hematology analyzers listed in the TABLE OF EXPECTED RESULTS in conjunction with specific COULTER reagents (Refer to your instrument specific instructions for use).
The assigned values and expected ranges on the TABLE OF EXPECTED RESULTS can be used to monitor instrument performance. This product can also be used to establish your own laboratory mean.
2. Indication(s) for use:
Same as Intended Use
3. Special conditions for use statement(s):
Not applicable
4. Special instrument requirements:
For use on Coulter DxH™ 300 and DxH™ 300C analyzers
I. Device Description:
4C®-EX 300 Cell Control is a hematology quality control mixture intended to be used with automated cell and differential cell counters. It is prepared from stabilized human blood so that repeated measurements by an automated cell or differential cell counter can be made to monitor instrument daily performance. 4C®-EX 300 Cell
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Control consists of treated, stabilized human erythrocytes, a stabilized platelet sized component, and fixed erythrocytes that simulate leukocytes. Three levels of varying component concentrations (Abnormal Low, Abnormal High, and Normal) are offered.
# J. Substantial Equivalence Information:
1. Predicate device name(s): COULTER® 4C®-ES Cell Control
2. Predicate 510(k) number(s): k010064
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | 4C®-EX 300 Cell Control | 4C®-ES Cell Control |
| Product Description | Consists of treated, stabilized human erythrocytes in an isotonic medium. It also contains a stabilized platelet-sized component, and fixed erythrocytes to simulate leukocytes. | Same |
| Intended Use | A hematology quality control material used to monitor the performance of Beckman Coulter instruments listed in the Table of Expected Results in conjunction with specific Coulter reagents (Refer to your instrument specific instructions for use). The assigned values and expected ranges on the Table of Expected Results can be used to monitor instrument performance. This product can also be used to establish your own laboratory mean. | Same |
| Cellular Populations | White blood cells (Leukocytes), Red blood cells (Erythrocytes), Platelets, Lymphocytes, Monocytes, and Granulocytes | Same |
| Assayed Parameters | WBC, RBC, HGB, HCT, MCV, MCH, MCHC, RDW, RDW-SD, PLT, MPV, LY%, MO%, GR%, LY#, MO#, GR#. | Same except RDW-SD |
| Final Product Form | Three levels. Liquid, ready to use reagent. | Same |
| Open Vial Stability | 20 events over 35 days when stored at 2 - 8°C. | Same |
| Differences | | |
| --- | --- | --- |
| Item | 4C®-EX 300 Cell Control | 4C®-ES Cell Control |
| Closed Vial Stability | 145 days when stored at 2 - 8°C | 154 days when stored at 2 - 8°C. |
| Analyzers | DxH™ 300 COULTER® Cellular Analysis System/DxH™ 300C COULTER® Cellular Analysis System capable of analyzing the RDW-SD parameter. | ONYX™, ONYX™ with Autoloader, MD™ Series, MD™ II, Ac•T™ 8/10, Ac•T diff™, Ac•T diff2™, JT™, JT2, JT3 and T Series. |
# K. Standard/Guidance Document Referenced (if applicable):
CLSI EP05-A2, Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Second Edition
CLSI EP25-A, Evaluation of Stability of In Vitro Diagnostic Reagents; Approved Guideline
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L. Test Principle:
COULTER® 4C®- EX 300 Cell Control is a reference product prepared from stabilized human blood cells. 4C®- EX 300 Cell Control confirms and monitors instrument accuracy and precision performance by providing measurements for counting, sizing and hemoglobin determination.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Two separate studies demonstrate the precision/reproducibility of the DxH 300/300C systems.
Study 1: One lot of each level of 4C-EX 300 Cell Control (Abnormal Low, Normal and Abnormal High) was run in duplicate twice each day for a minimum of 20 days on the DxH 300 and DxH 300C analyzers at three test sites. The results were analyzed according to the guidance provided in CLSI EP05-A2. Variance components were estimated for all sources of variability controlled in the experiment based on a nested structure (site, day-within site, within day, and repeatability). Negative values of variance component estimates were defaulted to zero. The individual results are compared against the repeatability/reproducibility specifications. The results met the acceptance criteria as displayed in the tables below.
4C-EX 300 Cell Control Precision Abnormal Low Level
| DxH 300C | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 3.8 | 2.1 | 1.0 | 0.8 | 8.0 | 2.0 | 5.0 |
| RBC | 2.47 | 3.5 | 0.5 | 1.1 | 6.2 | 0.9 | 4.0 |
| HGB | 6.8 | 1.0 | 0.7 | 0.7 | 6.4 | 0.7 | 1.5 |
| HCT | 19.5 | 4.7 | 0.0 | 1.3 | N/A | 0.9 | N/A |
| MCV | 79.1 | 1.2 | 0.1 | 0.3 | 3.4 | 0.2 | 1.0 |
| MCH | 27.6 | 2.7 | 0.0 | 0.7 | N/A | 0.8 | N/A |
| MCHC | 34.8 | 3.9 | 0.0 | 0.7 | N/A | 0.8 | N/A |
| RDW | 13.7 | 1.0 | 1.1 | 0.9 | 12.4 | 1.6 | 3.5 |
| RDW-SD | 40.7 | 1.7 | 0.9 | 0.8 | 13.7 | 1.4 | 3.5 |
| PLT | 78 | 3.6 | 3.0 | 1.1 | 18.8 | 4.4 | 15.0 |
| MPV | 9.9 | 2.6 | 1.1 | 0.0 | 9.4 | 2.4 | 3.0 |
| LY% | 34.2 | 1.1 | 1.0 | 1.1 | 12.0 | 3.3 | 4.4 |
| MO% | 12.5 | 1.0 | 2.3 | 2.6 | 21.4 | 5.6 | 24.1 |
| GR% | 53.3 | 0.5 | 0.0 | 0.6 | 6.8 | 1.9 | 5.6 |
| LY# | 1.3 | 1.2 | 1.6 | 0.8 | N/A | 4.4 | N/A |
| MO# | 0.5 | 3.3 | 3.5 | 0.0 | N/A | 8.5 | N/A |
| GR# | 2.0 | 2.2 | 0.8 | 0.6 | N/A | 3.8 | N/A |
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| DxH 300 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 3.8 | 2.4 | 1.4 | 0.0 | 8.0 | 2.2 | 5.0 |
| RBC | 2.49 | 2.5 | 0.7 | 0.9 | 6.2 | 0.8 | 4.0 |
| HGB | 6.8 | 1.3 | 0.8 | 0.4 | 6.4 | 0.8 | 1.5 |
| HCT | 19.7 | 2.9 | 0.3 | 1.0 | N/A | 0.9 | N/A |
| MCV | 79.1 | 0.8 | 0.1 | 0.3 | 3.4 | 0.2 | 1.0 |
| MCH | 27.2 | 3.2 | 0.0 | 0.6 | N/A | 0.7 | N/A |
| MCHC | 34.4 | 3.8 | 0.0 | 0.8 | N/A | 0.8 | N/A |
| RDW | 13.7 | 1.1 | 0.5 | 1.1 | 12.4 | 1.7 | 3.5 |
| RDW-SD | 40.3 | 0.9 | 0.0 | 0.9 | 13.7 | 1.6 | 3.5 |
| PLT | 80 | 3.2 | 5.6 | 1.8 | 18.8 | 4.1 | 15.0 |
| MPV | 9.9 | 1.9 | 0.0 | 0.0 | 9.4 | 2.8 | 3.0 |
| LY% | 34.5 | 0.4 | 0.0 | 1.6 | 12.0 | 3.3 | 4.4 |
| MO% | 12.4 | 0.0 | 2.1 | 0.5 | 21.4 | 5.8 | 24.1 |
| GR% | 53.2 | 0.2 | 0.3 | 0.7 | 6.8 | 1.8 | 5.6 |
| LY# | 1.3 | 2.4 | 1.3 | 1.7 | N/A | 4.4 | N/A |
| MO# | 0.5 | 2.9 | 2.5 | 0.0 | N/A | 9.2 | N/A |
| GR# | 2.0 | 2.2 | 1.3 | 0.0 | N/A | 3.7 | N/A |
4C-EX 300 Cell Control Precision Normal Level
| DxH 300C | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 8.7 | 2.4 | 0.6 | 0.9 | 4.9 | 1.4 | 3.0 |
| RBC | 4.17 | 3.0 | 0.0 | 1.3 | 3.6 | 0.6 | 2.0 |
| HGB | 12.9 | 0.3 | 0.8 | 0.8 | 4.3 | 0.8 | 1.5 |
| HCT | 36.8 | 4.2 | 0.0 | 1.5 | N/A | 0.2 | N/A |
| MCV | 88.2 | 1.2 | 0.0 | 0.4 | 3.1 | 0.1 | 1.0 |
| MCH | 31.0 | 2.8 | 0.0 | 0.8 | N/A | 0.5 | N/A |
| MCHC | 35.2 | 4.0 | 0.0 | 1.1 | N/A | 0.0 | N/A |
| RDW | 12.0 | 0.6 | 0.1 | 0.5 | 12.7 | 1.1 | 3.5 |
| RDW-SD | 41.6 | 1.3 | 0.5 | 0.3 | 13.6 | 1.3 | 3.5 |
| PLT | 224 | 3.8 | 2.2 | 0.0 | 15.4 | 2.5 | 5.0 |
| MPV | 10.3 | 2.6 | 0.9 | 0.0 | 12.6 | 1.1 | 3.0 |
| LY% | 45.8 | 0.7 | 0.7 | 0.0 | 6.6 | 1.8 | 3.3 |
| MO% | 12.8 | 1.5 | 1.3 | 0.0 | 18.1 | 4.0 | 23.4 |
| GR% | 41.5 | 0.7 | 0.6 | 0.0 | 9.0 | 1.6 | 7.2 |
| LY# | 4.0 | 1.9 | 1.3 | 1.0 | N/A | 2.6 | N/A |
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| MO# | 1.1 | 2.5 | 0.6 | 0.0 | N/A | 5.4 | N/A |
| --- | --- | --- | --- | --- | --- | --- | --- |
| GR# | 3.6 | 3.0 | 1.1 | 0.0 | N/A | 2.4 | N/A |
| DxH 300 | | | | | | | |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 8.7 | 2.3 | 1.0 | 0.3 | 4.9 | 1.4 | 3.0 |
| RBC | 4.19 | 2.1 | 0.8 | 0.6 | 3.6 | 0.8 | 2.0 |
| HGB | 12.9 | 1.3 | 0.7 | 0.4 | 4.3 | 0.6 | 1.5 |
| HCT | 37.0 | 2.6 | 0.6 | 0.8 | N/A | 0.8 | N/A |
| MCV | 88.3 | 0.8 | 0.0 | 0.3 | 3.1 | 0.1 | 1.0 |
| MCH | 30.5 | 3.0 | 0.0 | 0.6 | N/A | 0.8 | N/A |
| MCHC | 34.9 | 3.6 | 0.0 | 0.8 | N/A | 0.7 | N/A |
| RDW | 12.0 | 0.8 | 0.5 | 0.0 | 12.7 | 1.0 | 3.5 |
| RDW-SD | 41.4 | 1.2 | 0.4 | 0.0 | 13.6 | 1.2 | 3.5 |
| PLT | 227 | 2.9 | 3.0 | 0.4 | 15.4 | 2.9 | 5.0 |
| MPV | 10.3 | 2.0 | 0.9 | 0.4 | 12.6 | 1.0 | 3.0 |
| LY% | 45.9 | 0.3 | 0.7 | 0.5 | 6.6 | 1.7 | 3.3 |
| MO% | 12.8 | 0.1 | 1.8 | 0.0 | 18.1 | 4.4 | 23.4 |
| GR% | 41.3 | 0.3 | 0.5 | 0.8 | 9.0 | 1.4 | 7.2 |
| LY# | 4.0 | 2.5 | 1.2 | 0.1 | N/A | 2.4 | N/A |
| MO# | 1.1 | 1.6 | 1.3 | 0.0 | N/A | 5.3 | N/A |
| GR# | 3.6 | 2.3 | 1.3 | 1.1 | N/A | 2.1 | N/A |
4C-EX 300 Cell Control Precision Abnormal High Level
| DxH 300C | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 18.0 | 2.3 | 0.9 | 0.9 | 4.0 | 0.9 | 3.0 |
| RBC | 5.34 | 2.8 | 0.7 | 0.8 | 3.4 | 0.8 | 2.0 |
| HGB | 18.3 | 0.7 | 0.7 | 0.8 | 3.1 | 0.5 | 1.5 |
| HCT | 51.6 | 4.1 | 0.5 | 0.9 | N/A | 0.7 | N/A |
| MCV | 96.7 | 1.3 | 0.0 | 0.3 | 3.1 | 0.0 | 1.0 |
| MCH | 34.3 | 2.3 | 0.0 | 0.4 | N/A | 0.7 | N/A |
| MCHC | 35.5 | 3.6 | 0.0 | 0.4 | N/A | 0.6 | N/A |
| RDW | 11.6 | 0.5 | 0.4 | 0.5 | 13.2 | 0.8 | 3.5 |
| RDW-SD | 44.2 | 1.5 | 0.6 | 0.6 | 14.3 | 1.2 | 3.5 |
| PLT | 436 | 4.5 | 1.5 | 1.3 | 11.4 | 1.5 | 5.0 |
| MPV | 10.3 | 2.8 | 0.8 | 0.0 | 12.4 | 0.7 | 3.0 |
| LY% | 50.5 | 0.7 | 0.4 | 0.3 | 6.1 | 1.1 | 5.9 |
| MO% | 15.7 | 1.4 | 0.7 | 0.5 | 18.3 | 2.6 | 19.1 |
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| GR% | 33.8 | 0.7 | 0.2 | 0.0 | 9.1 | 1.3 | 8.9 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LY# | 9.1 | 2.1 | 1.0 | 0.7 | N/A | 1.6 | N/A |
| MO# | 2.8 | 2.3 | 1.2 | 0.8 | N/A | 2.6 | N/A |
| GR# | 6.1 | 2.9 | 0.8 | 1.2 | N/A | 1.6 | N/A |
| DxH 300 | | | | | | | |
| Parameter | Mean | CV% | | | | | |
| | | Site/Instrument | Day | Within Day | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 18.0 | 2.4 | 0.8 | 0.7 | 4.0 | 0.8 | 3.0 |
| RBC | 5.34 | 1.9 | 0.8 | 0.8 | 3.4 | 0.8 | 2.0 |
| HGB | 18.2 | 1.5 | 0.6 | 0.5 | 3.1 | 0.5 | 1.5 |
| HCT | 51.6 | 2.4 | 0.8 | 0.8 | N/A | 0.7 | N/A |
| MCV | 96.7 | 0.8 | 0.1 | 0.2 | 3.1 | 0.2 | 1.0 |
| MCH | 34.0 | 3.1 | 0.0 | 1.2 | N/A | 0.7 | N/A |
| MCHC | 35.2 | 3.7 | 0.0 | 0.6 | N/A | 0.6 | N/A |
| RDW | 11.7 | 0.0 | 0.7 | 0.0 | 13.2 | 0.9 | 3.5 |
| RDW-SD | 44.0 | 0.6 | 0.8 | 0.0 | 14.3 | 1.3 | 3.5 |
| PLT | 443 | 2.9 | 2.8 | 1.4 | 11.4 | 1.8 | 5.0 |
| MPV | 10.3 | 2.2 | 1.0 | 0.4 | 12.4 | 0.7 | 3.0 |
| LY% | 50.6 | 0.5 | 0.5 | 0.5 | 6.1 | 1.0 | 5.9 |
| MO% | 15.7 | 1.1 | 1.3 | 0.0 | 18.3 | 2.3 | 19.1 |
| GR% | 33.7 | 0.3 | 0.2 | 0.5 | 9.1 | 1.2 | 8.9 |
| LY# | 9.1 | 2.5 | 0.7 | 0.8 | N/A | 1.5 | N/A |
| MO# | 2.8 | 2.4 | 1.4 | 0.9 | N/A | 2.5 | N/A |
| GR# | 6.1 | 2.5 | 1.0 | 1.0 | N/A | 1.6 | N/A |
Study 2: An analysis of a subset of the 4C-EX 300 Cell Control stability data was performed to assess the precision/reproducibility of multiple lots of the product over time. The data was collected, and included three lots of each level of 4C-EX Cell Control (Abnormal Low, Normal and Abnormal High). For each lot, five replicates per day for a total of four days were obtained on one DxH 300 and one DxH 300C analyzers. The analysis of all the lots spanned throughout approximately 45 days. All sources of variability were considered to be random. The estimates with negative values were defaulted to zero. The individual results are compared against the repeatability/reproducibility specifications. The results met the acceptance criteria as displayed in the tables below.
4C-EX 300 Cell Control DxH 300/300C Precision Abnormal Low Level
| Parameter | Mean | CV% | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Day | Instrument | Lot | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 3.7 | 1.6 | 2.5 | 3.1 | 8.0 | 2.3 | 5.0 |
| RBC | 2.46 | 0.0 | 2.3 | 3.4 | 6.2 | 1.2 | 4.0 |
| HGB | 6.6 | 0.0 | 1.4 | 3.4 | 6.4 | 0.7 | 1.5 |
| HCT | 10.0 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| MCV | 10.0 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| MCH | 34.0 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| MCHC | 35.2 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| RDW | 11.7 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| RDW-SD | 44.0 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| PLT | 443 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| MPV | 10.3 | 0.0 | 0.0 | 3.4 | 6.4 | 0.7 | 1.5 |
| LY% | 50.6 | 0.5 | 0.5 | 0.5 | 6.1 | 1.0 | 5.9 |
| MO% | 15.7 | 1.1 | 1.3 | 0.0 | 18.3 | 2.3 | 19.1 |
| GR% | 33.7 | 0.3 | 0.2 | 0.5 | 9.1 | 1.2 | 8.9 |
| LY# | 9.1 | 2.5 | 0.7 | 0.8 | N/A | 1.5 | N/A |
| MO# | 2.8 | 2.4 | 1.4 | 0.9 | N/A | 2.5 | N/A |
| GR# | 6.1 | 2.5 | 1.0 | 1.0 | N/A | 1.6 | N/A |
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4C-EX 300 Cell Control DxH 300/300C Precision Normal Level
| Parameter | Mean | CV% | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Day | Instrument | Lot | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 8.5 | 0.0 | 3.3 | 2.0 | 4.9 | 1.1 | 3.0 |
| RBC | 4.20 | 0.0 | 2.1 | 0.6 | 3.6 | 1.1 | 2.0 |
| HGB | 12.6 | 0.0 | 1.1 | 0.5 | 4.3 | 0.6 | 1.5 |
| HCT | 37.1 | 0.0 | 2.4 | 0.7 | N/A | 1.1 | N/A |
| MCV | 88.4 | 0.0 | 0.5 | 0.8 | 3.1 | 0.2 | 1.0 |
| MCH | 29.9 | 0.0 | 1.1 | 0.7 | N/A | 1.0 | N/A |
| MCHC | 33.9 | 0.0 | 1.4 | 1.1 | N/A | 1.0 | N/A |
| RDW | 12.0 | 0.0 | 0.8 | 1.2 | 12.7 | 1.2 | 3.5 |
| RDW-SD | 40.4 | 0.0 | 1.6 | 1.8 | 13.6 | 1.5 | 3.5 |
| PLT | 217.7 | 0.0 | 3.0 | 1.2 | 15.4 | 2.4 | 5.0 |
| MPV | 10.0 | 1.1 | 0.4 | 0.8 | 12.6 | 0.8 | 3.0 |
| LY% | 45.6 | 0.0 | 0.7 | 0.6 | 6.6 | 1.7 | 3.3 |
| MO% | 13.7 | 1.7 | 2.5 | 3.2 | 18.1 | 3.6 | 21.9 |
| GR% | 40.7 | 0.9 | 0.6 | 1.5 | 9.0 | 1.6 | 7.4 |
| LY# | 3.9 | 0.0 | 3.9 | 2.5 | N/A | 1.7 | N/A |
| MO# | 1.2 | 3.8 | 0.0 | 4.9 | N/A | 4.1 | N/A |
| GR# | 3.5 | 0.0 | 3.7 | 0.4 | N/A | 2.0 | N/A |
4C-EX 300 Cell Control DxH 300/300C Precision Abnormal High Level
| Parameter | Mean | CV% | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Day | Instrument | Lot | Reproducibility Specification | Repeatability | Repeatability Specification |
| WBC | 18.2 | 0.0 | 3.6 | 1.9 | 4.0 | 1.0 | 3.0 |
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| RBC | 5.34 | 0.0 | 1.7 | 0.7 | 3.4 | 1.1 | 2.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| HGB | 17.7 | 0.0 | 0.9 | 0.5 | 3.1 | 0.5 | 1.5 |
| HCT | 51.8 | 0.0 | 2.1 | 1.3 | N/A | 1.0 | N/A |
| MCV | 97.0 | 0.0 | 0.5 | 0.7 | 3.1 | 0.2 | 1.0 |
| MCH | 33.2 | 0.0 | 1.1 | 0.6 | N/A | 0.9 | N/A |
| MCHC | 34.2 | 0.0 | 1.4 | 1.3 | N/A | 0.9 | N/A |
| RDW | 11.6 | 0.5 | 0.3 | 0.6 | 13.2 | 0.8 | 3.5 |
| RDW-SD | 42.9 | 0.0 | 2.0 | 1.4 | 14.3 | 1.1 | 3.5 |
| PLT | 436.9 | 0.0 | 3.4 | 1.3 | 11.4 | 1.9 | 5.0 |
| MPV | 10.2 | 2.6 | 0.3 | 2.1 | 12.4 | 0.7 | 3.0 |
| LY% | 49.7 | 0.0 | 0.1 | 0.3 | 6.1 | 1.0 | 6.0 |
| MO% | 16.7 | 0.6 | 1.2 | 1.0 | 18.3 | 2.3 | 18.0 |
| GR% | 33.7 | 0.6 | 0.0 | 0.6 | 9.1 | 1.1 | 8.9 |
| LY# | 9.0 | 0.0 | 3.8 | 1.8 | N/A | 1.5 | N/A |
| MO# | 3.0 | 2.4 | 2.2 | 2.8 | N/A | 2.3 | N/A |
| GR# | 6.1 | 0.0 | 3.7 | 1.7 | N/A | 1.5 | N/A |
b. Linearity/assay reportable range:
Not applicable.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Value assignment: 4C®- EX 300 Cell Control assigned values are determined on validated systems using specific Beckman Coulter reagents. One hundred (100) vials from each lot are taken randomly throughout the production run. For the value assignment process, two assay runs are required on two separate instruments. Four to seven sample vials are analyzed for each assay run. An assay computer system is used to determine the number of replicates required for each assay run and analyze the data in real-time. Zero biased, equilibration adjusted data and the raw data from the instrument assay run data is used to determine the final value assignment. The value assignments are confirmed by performing a verification test of the product on the instruments for which the cell control is intended to be used.
Open and Closed Vial Stability: Three lots of each level (Abnormal Low, Normal, and Abnormal High) were processed on both DxH™ 300 and DxH™ 300C analyzers. Testing was conducted throughout the proposed shelf life. Open Vial Stability was determined to be 20 events over 35 days when stored at 2 - 8°C. Closed Vial Stability was determined to be 145 days when stored at 2 - 8°C. The RDW-SD recovered values were compared to assay values established at the beginning of the test interval and the expected ranges to assess the product's stability.
d. Detection limit:
Not applicable
e. Analytical specificity:
Not applicable
f. Assay cut-off:
{8}
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Not applicable
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
The expected ranges for RDW-SD were calculated based upon the assigned values and expected ranges of MCV and RDW parameters, and the mathematical relationship between these parameters for each level of 4C®- EX 300 Cell Controls. This methodology allows for the preservation of the same variability built in the MCV and RDW specifications. The expected ranges are provided in the Table of Expected Results.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. 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.