The CAPILLARYS IMMUNOTYPING kit is designed for the detection and the characterization of monoclonal proteins (immunotyping) in human urine and serum with the CAPILLARYS System, SEBIA, for capillary electrophoresis. It is used in conjunction with the CAPILLARYS PROTEIN(E) 6 kit, SEBIA, designed for proteins separation into 6 major fractions in alkaline buffer (pH 9.9). The CAPILLARYS performs all procedural sequences automatically to obtain a protein profile for qualitative analysis. Each urine or serum sample is mixed with individual antisera that are specific against gamma (Ig G), alpha (Ig A) and mu (Ig M) heavy chains, and kappa (free and bound) light chains and lambda (free and bound) light chains, respectively. The proteins, separated in silica capillaries, are directly detected by their absorbance at 200 nm. The electrophoregrams are evaluated visually to detect the presence of specific reactions with the suspect monoclonal proteins. For In Vitro Diagnostic Use.
Device Story
Device performs automated capillary zone electrophoresis to detect/characterize monoclonal proteins in serum and urine. System uses 6 parallel silica capillaries; sample mixed with specific antisera (IgG, IgA, IgM, Kappa, Lambda) and injected. Proteins separated by electrophoretic mobility in alkaline buffer; detected via 200 nm absorbance. Output is electrophoregram showing protein profiles; clinician visually compares antisera patterns against reference (ELP) pattern to identify monoclonal fractions via disappearance/decrease of specific peaks. Used in clinical laboratory settings; operated by trained laboratory personnel. Benefits include automated, rapid, high-resolution identification of monoclonal gammopathies compared to traditional gel-based methods.
Clinical Evidence
No clinical data provided; device relies on analytical performance validation for the detection and characterization of monoclonal proteins using capillary electrophoresis.
Technological Characteristics
Capillary electrophoresis system; silica capillaries; 200 nm absorbance detection; automated sample processing; uses specific antisera for heavy (IgG, IgA, IgM) and light (kappa, lambda) chain identification; alkaline buffer (pH 9.9).
Indications for Use
Indicated for the detection and characterization of monoclonal proteins in human urine and serum samples to identify monoclonal gammopathies.
Regulatory Classification
Identification
An immunoglobulins A, G, M, D, and E immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the immunoglobulins A, G, M, D, an E (serum antibodies) in serum. Measurement of these immunoglobulins aids in the diagnosis of abnormal protein metabolism and the body's lack of ability to resist infectious agents.
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k082085
B. Purpose for Submission:
Device modification (addition of urine as sample matrix)
C. Measurand:
Monoclonal Immunoglobulins (IgG, IgA, IgM, Kappa, Lambda) in serum
D. Type of Test:
Capillary Zone Electrophoresis
E. Applicant:
SEBIA, INC.
F. Proprietary and Established Names:
CAPILLARYS IMMUNOTYPING (PN 2100)
G. Regulatory Information:
1. Regulation section:
21 CFR § 866.5510 Immunoglobulins (A, G, M, D, E) Immunological Test Systems
21 CFR § 866.5550 Immunoglobulin (light chain specific) Immunological Test
21 CFR § 862.1630 Electrophoretic, Protein Fractionation
2. Classification:
Class II
3. Product codes:
CFF - Immunoelectrophoretic, Immunoglobulins (G, A, M)
DFH – Kappa, Antigen, Antiserum, Control
DEH – Lambda, Antigen, Antiserum, Control
CEF – Electrophoretic, Protein Fractionation
4. Panel:
Immunology 82
Clinical Chemistry (75)
H. Intended Use:
1. Intended use:
The CAPILLARYS IMMUNOTYPING kit is designed for the detection and the characterization of monoclonal proteins (immunotyping) in human urine and serum with the CAPILLARYS System, SEBIA, for capillary electrophoresis. It is used in conjunction with the CAPILLARYS PROTEIN (E) 6 kit, SEBIA, designed for proteins separation into 6 major fractions in alkaline buffer (pH 9.9).
The CAPILLARYS performs all procedural sequences automatically to obtain a protein profile for qualitative analysis. Each urine or serum sample is mixed with individual antisera that are specific against gamma (Ig G), alpha (Ig A) and mu (Ig M) heavy chains, and kappa (free and bound) light chains and lambda (free and bound) light chains, respectively.
The proteins, separated in silica capillaries, are directly detected by their absorbance at
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200 nm. The electrophoregrams are evaluated visually to detect the presence of specific reactions with the suspect monoclonal proteins.
For In Vitro Diagnostic Use.
2. Indication(s) for use:
Same as Intended use.
3. Special conditions for use statement(s):
For prescription only.
4. Special instrument requirements:
SEBIA CAPILLARYS System
I. Device Description:
The Capillarys Immunotyping (PN 2100) kit is designed for the detection and the characterization of monoclonal proteins (immunotyping) in human urine and serum and the kit contains 60 Immunotyping antisera segments which are ready to use. Each segment is intended to run one sample. The antisera segments have antibodies specific against gamma (IgG), alpha (IgA), mu (IgM) heavy chains, and kappa (free and bound) light chains, and lambda (free and bound) light chains.
Other reagents required but not supplied: CAPILLARYS PROTEIN(E) 6 kit (SEBIA PN 2003), CAPILLARYS URINE kit (PN 2012) distilled or deionized water, CAPICLEAN (SEBIA PN 2058), Sodium Hypochlorite solution (for sample probe cleaning), CAPILLARYS wash solution (SEBIA PN 2052), CAPILLARYS Dialysis System (PN 9200).
J. Substantial Equivalence Information:
1. Predicate device name(s):
SEBIA HYDRAGEL 9 Bence Jones kit
Sebia Hydragel Immunofixation Kit
2. Predicate K number(s):
k972591 (BJ)
k960669 (IFx)
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Electrophoretic separation/fractionation of urine proteins | Qualitative visual detection of protein abnormalities | Same |
| IFE Antisera Specificity | Antibody specificity to heavy chains (IgG, IgA, IgM) and to light chains (Kappa, Lambda). | Same |
| IFE Antisera Storage | 2 – 8°C or Room Temperature (15 – 30°C) | Same |
| Sample matrices | Serum and Urine | Same |
| Results | Qualitative Interpretation | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | The CAPILLARYS IMMUNOTYPING kit is designed for the detection and the characterization of monoclonal proteins (immunotyping) in human urine or serum with the SEBIA CAPILLARYS System, for capillary electrophoresis. | The HYDRAGEL Bence Jones Dynamic Mask kit is designed for qualitative detection and identification of Bence Jones proteins, monoclonal free light chains kappa or lambda in human urine or serum; and the HYDRAGEL IF kit is designed for the detection of monoclonal proteins in human serum and urine by immunofixation electrophoresis. The kits are used in conjunction with the semi-automated HYDRASYS electrophoresis apparatus. |
| Technology | SIFE/s: Capillary Electrophoretic Migration with Immunofixation by Subtraction (Immunotyping). | Agarose gel electrophoretic migration with immunofixation |
| Methodology | Capillary electrophoresis | Gel electrophoresis |
| Equipment | CAPILLARYS, SEBIA | HYDRASYS, SEBIA |
| Analyzed sample | 1 sample per antisera segment | 1, 2, 4, or 9 samples according to the gel configurations |
| Lowest detection limit | 2.5 mg/dL | 3.0-12.0 mg/dL |
K. Standard/Guidance Document Referenced (if applicable):
None provided.
L. Test Principle:
Protein electrophoresis is a well established technique routinely used in clinical laboratories for screening serum samples for protein abnormalities. The CAPILLARYS System, SEBIA, for capillary electrophoresis has been developed to provide complete automation of this testing with fast separation and good resolution. In many aspects, the methodology can be considered as an intermediary between classical zone electrophoresis and liquid chromatography.
The CAPILLARYS System uses the principle of capillary electrophoresis in free
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solution. With this technique, charged molecules are separated by their electrophoretic mobility in an alkaline buffer with a specific pH. Separation also occurs according to the electrolyte pH and electroosmotic flow.
In capillary electrophoresis, abnormal fractions in serum protein electrophoregrams, primarily those in the beta globulin and gamma globulin zones, are always suspected of being monoclonal proteins (M-proteins, paraproteins, monoclonal immunoglobulins) and therefore, an indication of monoclonal gammopathies. With CAPILLARYS IMMUNOTYPING and CAPILLARYS IMMUNOTYPING URINE procedures, the immunotyping is performed with specific antibodies to identify these abnormal fractions.
The CAPILLARYS system has 6 capillaries functioning in parallel. In this system, a sample dilution is prepared and injected simultaneously by aspiration at the anodic end of the 6 capillaries, 3 times successively. For the immunotyping, the reference pattern (ELP pattern) is obtained by injection of the sample mixed with ELP solution in a capillary No. 1 providing a complete electrophoretic pattern of sample proteins. The antisera patterns are obtained by injection in capillaries No. 2 to 6 of the previously diluted samples mixed with specific antisera against gamma (Ig G), alpha (Ig A), mu (Ig M) heavy chains, and against free and bound Kappa and Lambda light chains.
A high voltage protein separation is then performed and direct detection of the proteins is made at 200 nm at the cathodic end of the capillary. The capillaries are immediately washed with a Wash Solution and prepared for the next analysis with buffer.
The superimposition of the antisera patterns with the ELP pattern allows for visualization of the disappearance and / or the decrease of a monoclonal fraction on the antiserum pattern and to indicate a gammopathy.
NOTE: In CAPILLARYS IMMUNOTYPING procedure, proteins are detected in the following order from cathode to anode: gamma globulins, beta-2 globulins, beta-1 globulins, alpha-2 globulins, alpha-1 globulins and albumin with each zone containing one or more proteins. The antigen - antibody complex (between the serum sample immunoglobulins and the specific antiserum) has a very anodic mobility (between alpha-1 zone and albumin or more anodic than albumin).
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Study design:
Within run precision: six different pathological urine samples containing one or two monoclonal components and one normal urine sample were run 6 times within a run and the runs were repeated with two different lot number antiserum. The six samples were comprised of one normal sample and five pathological samples (monoclonal IgG κ; IgA λ with one free λ light chain; IgM κ; Kappa with two κ light chains; and Lambda with one λ light chain).
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According to the identified monoclonal protein, the concordant and reproducible within-run results were obtained.
Between run reproducibility – Eight urine samples were run 4 times and repeated in 4 runs on 3 different lot number antisera. The seven urine samples were comprised of normal, one IgG λ, three Kappa and three Lambda free light chains. According to the identified monoclonal component characterization, the concordant and reproducible between-run results were obtained.
Validation on Hydragel Dynamic mask:
Validation data were requested and submitted on the Hydragel Dynamic mask (2003 validation data on slight modification to the Hydragel Standard mask). The slight modification is using a colored reference guide for reagent application, an antisera segment, a segment holder, a dynamic mask guide and a length reducing device. The reagents are applied using the wells of the antisera segment which is moved over the gel surface compared to the standard mask wherein the reagents are applied using troughs of the template. Concordance study had a total of 20 serum samples and 36 urine samples (31 pathological, and 5 normal) were performed on HYDRAGEL Bence Jones standard mask and dynamic mask using the HYDRAGEL System. The study demonstrated 100% agreement between the two methods.
b. Linearity/assay reportable range:
Not applicable.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Not applicable
d. Detection limit:
The detection limit was determined by testing serial two-fold dilutions prepared from two pathological urine sample containing Kappa and Lambda free light chain (at concentration about 55 mg/dL and 24 mg/dL respectively). It was diluted with saline and analyzed using the CAPILLARYS Immunotyping procedure. The minimal detection limit of the monoclonal component was about 2.5 mg/dL.
e. Analytical specificity:
There was no need to test drugs and salts interferences because these are eliminated during dialysis. However, hemoglobin is commonly known to co-migrate with transferrin if not removed by dialysis. Hemoglobin interference study was not evaluated for this assay. The Limitation section of the package insert states: "Hemoglobin is commonly known to co-migrate with transferrin when it is in the urine sample. It is advised to observe the urine sample features after the first centrifugation (5000 rpm for 10 minutes) (e.g., signs of red blood cells and/or hemolysis in the urine sample)".
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
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Study design: A total of 61 urine samples (33 pathological, 22 polyclonal and 6 normal) were performed on CAPILLARYS IMMUNOTYPING kits using the CAPILLARYS System and on HYDRAGEL Bence Jones and HYDRAGEL IF kits using the HYDRAGEL System. The total protein concentrations ranged from 10.0 – 2340 mg/dL. The study demonstrated 100% agreement between the two methods (see results below).
| Qualitative Results | Total | Complete Agreement |
| --- | --- | --- |
| Normal | 6 | 6 |
| Polyclonal IgG κ + IgG λ | 15 | 15 |
| Polyclonal IgG κ | 3 | 3 |
| Polyclonal IgG, IgA, IgM, Kappa and Lambda | 1 | 1 |
| Polyclonal Kappa | 1 | 1 |
| Polyclonal IgG | 2 | 2 |
| Monoclonal Lambda free light chains | 10 | 10 |
| Monoclonal Kappa free light chains | 6 | 6 |
| Monoclonal IgG λ + Lambda free light chains | 8 | 8 |
| Monoclonal IgA λ + Lambda free light chains | 1 | 1 |
| Monoclonal IgA κ + Kappa free light chains | 1 | 1 |
| Monoclonal IgM κ + Kappa free light chains | 1 | 1 |
| Monoclonal IgG κ | 2 | 2 |
| Monoclonal IgG λ | 3 | 3 |
| Monoclonal IgA κ | 1 | 1 |
| Grand Total | 61 | 61 |
b. Matrix comparison:
Not applicable.
3. Clinical studies:
a. Clinical Sensitivity:
Not given.
b. Clinical specificity:
Not given.
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable.
4. Clinical cut-off:
Same as Expected values/Reference range.
5. Expected values/Reference range:
Absence of urine Bence Jones proteins.
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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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
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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.
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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.
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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.
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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.