XN CAL is used for the calibration and calibration verification of Sysmex XN series (XN-10, XN-11, XN-20, XN-21) analyzers. Assayed parameters include: WBC (10³/μL), RBC (10⁶/μL), HGB (g/dL), HCT (%), PLT (10³/μL), and RET (%).
Device Story
XN CAL is an in-vitro diagnostic calibrator designed to substitute for fresh whole blood in Sysmex XN series hematology analyzers. It consists of stabilized red blood cells, white blood cells, platelets, and nucleated red blood cells in a preservative medium. Packaged in polypropylene vials, it is used by laboratory personnel to calibrate and verify the accuracy of WBC, RBC, HGB, HCT, PLT, and RET parameters. The device ensures analyzer performance remains within specified limits, supporting accurate clinical hematology testing. It is stored at 2-8°C and has a 49-day closed-vial stability.
Clinical Evidence
Bench testing only. Studies included open-vial stability (4 hours), closed-vial stability (49 days), and precision performance. Data demonstrated consistent reproducibility and stability for the entire product dating, supporting substantial equivalence.
Technological Characteristics
Stabilized human blood components (RBC, WBC, PLT, nucleated RBC) in preservative medium. Polypropylene vials with screw caps. Calibrated to whole blood per CLSI H26-A2, H7-A3, H15-A3, and ICSH guidelines. Storage 2-8°C. No electronic or software components; purely a chemical/biological calibrator.
Indications for Use
Indicated for calibration and calibration verification of Sysmex XN series (XN-10, XN-11, XN-20, XN-21) hematology analyzers. Used by clinical laboratory professionals.
Regulatory Classification
Identification
A calibrator for cell indices is a device that approximates whole blood or certain blood cells and that is used to set an instrument intended to measure mean cell volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC), or other cell indices. It is a suspension of particles or cells whose size, shape, concentration, and other characteristics have been precisely and accurately determined.
Special Controls
*Classification.* Class II (special controls). 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
XN CAL (k120745)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k141962
B. Purpose for Submission:
Clearance of new device
C. Measurand:
Assayed hematology parameters: WBC (10³/μL), RBC (10⁶/μL), HGB (g/dL), HCT (%), PLT (10³/μL), and RET (%)
D. Type of Test:
Quantitative
E. Applicant:
Streck Inc.
F. Proprietary and Established Names:
XM-CAL™
G. Regulatory Information:
1. Regulation section:
21 CFR § 864.8150 - Calibrator for cell indices
2. Classification:
Class II
3. Product code:
KRX-Calibrator for cell indices
4. Panel:
Hematology (81)
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H. Intended Use:
1. Intended use(s):
XN CAL is used for the calibration and calibration verification of Sysmex XN series (XN-10, XN-11, XN-20, XN-21) analyzers. Assayed parameters include: WBC (10³/μL), RBC (10⁶/μL), HGB (g/dL), HCT (%), PLT (10³/μL), and RET (%).
2. Indication(s) for use:
Same as intended use
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
Sysmex XN Series (XN-10, XN-11, XN-20, XN-21) analyzers
I. Device Description:
XN CAL™ is an in-vitro diagnostic product that contains the following: stabilized red blood cell component(s), stabilized white blood cell component(s), stabilized platelet component(s), and stabilized nucleated red blood cell component(s) in a preservative medium. The single level calibrator is packaged in polypropylene plastic vials with screw caps. The vials will be packaged in (5) welled or (1) welled vacuum formed clamshell container with the Instructions for Use (IFU) / assay sheet. The product must be stored at 2 - 8°C.
J. Substantial Equivalence Information:
1. Predicate device name(s): XN CAL™
2. Predicate 510(k) number(s): k120745
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device- | Predicate |
| Intended Use | XN CAL is used for the calibration and calibration verification of Sysmex XN series (XN-10, XN-20) analyzers. Assayed | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Device- | Predicate |
| | parameters include: WBC (10^{3}/μL), RBC (10^{6}/μL), HGB (g/dL), HCT (%), PLT (10^{3}/μL), and RET (%). | |
| Reagents | XN CAL contains the following: stabilized red blood cell component(s), stabilized white blood cell component(s), stabilized platelet component(s), and stabilized nucleated red blood cell component(s) in a preservative medium | Same |
| Storage conditions | 2-8°C | Same |
| Open vial stability | 4 hours | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Closed-Vail Stability | 49 days | 35 days |
## K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A2 Methods, Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Second Edition
## L. Test Principle:
XN CAL™ was designed to function as a substitute for fresh whole blood to calibrate the Sysmex XN10/20, and XN 11/21 series hematology analyzers. This product is for in-vitro diagnostic use to calibrate the following parameters: RBC (10<sup>6</sup>/μL), HGB (g/dL), HCT (%), PLT (10<sup>3</sup>/μL), WBC (10<sup>3</sup>/μL), and RET (%).
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Data were collected at two internal sites and at one external site across 3 different Sysmex XN-21 model analyzers with 3 separately manufactured lots of XN-CAL™. Studies were conducted for each lot at all three (3) sites. Each site performed 10 consecutive runs on each XN-21 Series Instrument with separate vials of calibrator from each lot. Calibration materials were shipped, stored, mixed, and handled in accordance with the instructions for use. The acceptance criteria were based on a compilation of the CV% for each parameter reported. Results across the three
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separately manufactured lots of XN CAL™ demonstrated consistent recovery across multiple instruments, at multiple sites within the parameter specific assay assignment set forth for each measurand (see tables 1 and 2 below).
| Measurand (%CV) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Table 1 | | | | | | |
| Lot | WBC | RBC | HGB | HCT | PLT | RET |
| 3287 | 1.74 | 0.80 | 0.8 | 2.1 | 2 | 4.93 |
| 3315 | 1.42 | 1.94 | 1.0 | 3.0 | 3 | 5.52 |
| 3343 | 1.62 | 4.77 | 0.9 | 5.7 | 6 | 5.07 |
| SD | 0.11 | 0.02 | 0.12 | 1.3 | 8.4 | 0.10 |
| Mean | 7.0 | 4.3 | 12.9 | 35.2 | 235 | 2.00 |
| CV% Acceptance Criteria | 5.0 | 5.0 | 5.0 | 10.0 | 10.0 | 10.0 |
| Sysmex XN-21 model for XN-CAL | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Table 2 | | | Within Run | | Between Run | | Between Instrument | | Between Lot | | Between Site | | Total | |
| Sample | N | Mean | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| WBC | 180 | 7.008 | 0.092 | 1.31 | 0.016 | 0.23 | 0.092 | 1.31 | 0.032 | 0.46 | 0.000 | 0.00 | 0.134 | 1.92 |
| RBC | 180 | 4.307 | 0.035 | 0.82 | 0.101 | 2.35 | 0.103 | 2.40 | 0.089 | 2.06 | 0.000 | 0.00 | 0.173 | 4.02 |
| HGB | 180 | 12.93 | 0.063 | 0.49 | 0.035 | 0.27 | 0.040 | 0.31 | 0.131 | 1.01 | 0.131 | 1.01 | 0.203 | 1.57 |
| HCT | 180 | 35.22 | 0.279 | 0.79 | 0.818 | 2.32 | 1.096 | 3.11 | 0.760 | 2.16 | 0.914 | 2.60 | 1.834 | 5.21 |
| PLT | 180 | 235.0 | 5.474 | 2.33 | 7.234 | 3.08 | 6.659 | 2.83 | 2.698 | 1.15 | 0.000 | 0.00 | 11.572 | 4.93 |
| RET | 180 | 2.007 | 0.061 | 3.06 | 0.052 | 2.57 | 0.099 | 4.93 | 0.059 | 2.92 | 0.000 | 0.00 | 0.140 | 6.99 |
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
**Value assignment:**
Streck performed analyses on three Sysmex XN-21 model analyzers using three lots of calibrator tested 10 times at the beginning and end of the product date claim of 49 days. Assay values were assigned to the parameters assayed (RBC (10⁶/μL), HGB (g/dL), HCT (%), PLT (10³/μL), WBC (10³/μL, RET (%)) generated from the Sysmex XN-21 model based on a statistical analysis of the data collected at Streck and Sysmex US sites. Final assignment values were determined using total precision data collected and established product performance characteristics. Expected range values assigned to each of the measurand were based on 2.5 SD from the total-run data collected for XN CAL™. All lot specific assay values will be included on the lot
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specific assay sheet for each manufactured lot of XN-CAL. An assay sheet will be included for each lot number of XN CAL in each product package.
## Reagent Stability
The acceptance criteria for open and closed-vial stability were based on a compilation of the CV% for each measurand (RBC (10⁶/μL), HGB (g/dL), HCT (%), PLT (10³/μL), WBC (10³/μL, RET (%)) over data collected across three different Sysmex XN-21 analyzers, at three sites, throughout the product stability claim period, using 3 lots of XN CAL™.
Open-vial stability: A 4-hour real-time open-vial stability claim was conducted at the end of the 49-day stability study at one internal site on the Sysmex XN-21 model analyzer. Two vials of calibrator from each of the three reference lots# (3287, 3315, 3343) were analyzed four times at two time intervals over two consecutive days (n=8) on one analyzer.
Closed-vial stability: A real-time 49-day closed-vial study was conducted on the Sysmex XN-21 model analyzers. Two vials of calibrators from each of the three reference lots# (3287, 3315, 3343) were analyzed four times at 21 time interval (n=84) over 53 days across all the 3 sites. Data was collected at one time interval beyond the 49-day stability claim. Data were collected and analyzed using CLSI EP5-A2 methods on the XN-21 model analyzers.
All reported CV% values for open and closed vial reagent stability study were within the acceptable threshold values as shown in the tables for the acceptance criteria above in section M.1 (a).
## Traceability
XN CAL™ is calibrated to whole blood following the guidelines outlined in the following:
- CLSI H26-A2-Validation, Verification and Quality Assurance for Automated Hematology Analyzers.
- CLSI Document H7-A3, Procedure of Determining Packed Cell Volume by the Microhematocrit Method, October 2000.
- CLSI Document H15-A3, Reference and Selected Procedures for the Quantitative Determination of Hemoglobin in Blood, December, 2000.
- ICSH Expert Panel on Cytometry, The Assignment of Values to Fresh Blood Used for Calibrating Automated Blood Cell Counters 1988 Clinical Lab Haemat 10:203-212.
- ICSH Expert Panel on Cytometry, Platelet Counting by the RBC/Platelet Ratio Method-March, 2001 American Journal of Clinical Pathology
d. Detection limit:
Not applicable
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e. Analytical specificity:
Not applicable
f. Assay cut-off:
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 end-user is instructed to refer to the product assay sheet accompanying the product instructions for use.
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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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
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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.