The ATAC Serum Calibrator is intended for use with the ATAC Clinical Systems to establish points of reference that are used in the determination of albumin, calcium, cholesterol, creatinine, direct bilirubin, glucose, iron, magnesium, phosphorus, total bilirubin, total protein, triglycerides, urea and uric acid in human specimens..
Device Story
ATAC Serum Calibrator is a lyophilized human serum-based product containing multiple analytes (albumin, calcium, cholesterol, creatinine, direct bilirubin, glucose, iron, magnesium, phosphorus, total bilirubin, total protein, triglycerides, urea, uric acid). Used with ATAC 8000 Random Access Chemistry Analyzer to establish reference points for clinical chemistry assays. Kit includes 4 vials of calibrator and 4 vials of diluent. Source material tested non-reactive for HIV1/2, HBsAg, and HCV. Healthcare providers use the system to calibrate assays for patient specimen analysis, ensuring accurate quantitative measurement of clinical chemistry markers.
Clinical Evidence
No clinical data. Bench testing only. Stability claims supported by real-time and accelerated stability protocols. Traceability established via NIST SRM reference materials (e.g., SRM 927, 915b, 914, 917b, 937, 929, 916a, 1951b, 912a, 913a).
Technological Characteristics
Serum-based calibrator; liquid or lyophilized form (implied by product type); intended for use with ATAC Clinical Systems; Class II device (21 CFR 862.1150).
Indications for Use
Indicated for use with ATAC Clinical Systems to calibrate assays for albumin, calcium, cholesterol, creatinine, direct bilirubin, glucose, iron, magnesium, phosphorus, total bilirubin, total protein, triglycerides, urea, and uric acid in human specimens.
Regulatory Classification
Identification
A calibrator is a device intended for medical purposes for use in a test system to establish points of reference that are used in the determination of values in the measurement of substances in human specimens. (See also § 862.2 in this part.)
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 § 862.9.
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k110394
B. Purpose for Submission:
New device for adding four new analytes, direct bilirubin, triglycerides, iron, and uric acid to a previously cleared calibrator material (k030621)
C. Measurand:
Analytes: Albumin, Calcium, Cholesterol, Creatinine, Direct Bilirubin, Iron, Glucose, Magnesium, Phosphorus, Total Bilirubin, Total Protein, Triglycerides, Urea, and Uric Acid
D. Type of Test:
Calibrator material
E. Applicant:
Vital Diagnostics
F. Proprietary and Established Names:
ATAC Serum Calibrator (Direct Bilirubin and Iron)
G. Regulatory Information:
1. Regulation section:
21 CFR § 862.1150 - Calibrator
2. Classification:
Class II
3. Product code:
JIX - Calibrator, Multi-Analyte Mixture
4. Panel:
Clinical Chemistry - 75
H. Intended Use:
1. Intended use(s):
Refer to indications for use below.
2. Indication(s) for use:
The ATAC Serum Calibrator is intended for use with the ATAC Clinical Systems to establish points of reference that are used in the determination of albumin, calcium, cholesterol, creatinine, direct bilirubin, glucose, iron, magnesium, phosphorus, total bilirubin, total protein, triglycerides, urea and uric acid in human specimens..
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3. Special conditions for use statement(s):
For in vitro diagnostic use only. For prescription use.
4. Special instrument requirements:
ATAC 8000 Random Access Chemistry Analyzer
I. Device Description:
The ATAC Serum Calibrator is a lyophilized human serum with biological materials added as required to obtain desired component levels. The final product contains the following components: albumin, calcium, cholesterol, creatinine, direct bilirubin, glucose, iron, magnesium, phosphorus, total bilirubin, total protein, triglycerides, urea and uric acid in human specimens. The kit consists of 4 vials of the multi calibrators and 4 vials of the ATAC Calibrator Diluents. The volume per vial of the ATAC Calibrator Diluent is 10.0 ml. ATAC Calibrators are manufactured from human serum. The source material in this product have been tested for human immunodeficiency virus (HIV1, HIV2) antibody, hepatitis B surface antigen (HBsAg), and hepatitis C (HCV) antibody and found to be non-reactive.
J. Substantial Equivalence Information:
1. Predicate device name:
k990460
2. Predicate 510(k) number:
Roche Calibrator for Automated Systems (C.f.a.s.)
3. Comparison with predicate:
| Comparison Table | | |
| --- | --- | --- |
| Item | New Device (k110394) | Predicate (k990460) |
| Intended Use | Intended for use in a test system to establish points of reference that are used in the determination of values in the measurement of substances in human specimens. | Same |
| Format | Lyophilized | Same |
| Analytes | Albumin, calcium, cholesterol, creatinine, direct bilirubin, iron, glucose, magnesium, phosphorus, total bilirubin, total protein, urea nitrogen, uric acid | Albumin, calcium, cholesterol, creatinine, direct bilirubin, iron, glucose, magnesium, phosphorus, total bilirubin, total protein, urea (BUN), uric acid, acid phosphatase, alkaline phosphatase, alanine aminotransferase, α-amylase, aspartate aminotransferase, cholinesterase, creatine kinase, γ-glutamyltransferase,, lactase |
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| Comparison Table | | |
| --- | --- | --- |
| Item | New Device (k110394) | Predicate (k990460) |
| | | dehydrogenase, lipase, UIBC, lactate, salicylate, HBDH |
| Levels | Single level | Same |
| Stability | Stable 24 months when stored at 2-8°C
Stable 7 days when reconstituted and stored at 2-8°C | Stable until expiration date printed on label when stored at 2-8°C
Stable 2 days when reconstituted and stored at 2-8°C |
K. Standard/Guidance Document Referenced (if applicable):
ISO 17511:2003. In vitro Diagnostic Medical Devices – Measurement of Quantities in Biological Samples
L. Test Principle:
Not applicable.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Not applicable.
b. Linearity/assay reportable range:
Not applicable.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: and:
Calibrators are traceable to the reference material shown in the table below:
| Traceability: Reference material | |
| --- | --- |
| Albumin | NIST SRM 927 |
| Calcium | NIST SRM 915b |
| Cholesterol | Cholesterol Reference Method Laboratory Network (CRMLN), NIST SRM 909b/911c |
| Creatinine | NIST SRM 914 |
| Direct Bilirubin | Manual Jendrassik-Grof / Roche Calibrator for Automated Systems |
| Glucose | NIST SRM 917b |
| Iron | NIST SRM 937 |
| Magnesium | NIST SRM 929 |
| Phosphorus | J.T Baker ULTREX, product no. 4921 ** |
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| | NIST SRM 3139a now available |
| --- | --- |
| Total Bilirubin | NIST SRM 916a |
| Total Protein | NIST SRM 927 |
| Triglycerides | NIST SRM 1951b / 909b |
| Urea Nitrogen | NIST SRM 912a |
| Uric Acid | NIST SRM 913a, SRM 909b |
**Value Assignment:**
Expected values for the ATAC Serum Calibrator kit are determined using selected commercially available reference materials/standards and at least five vials of candidate calibrators, two analyzers, and two lots of reagents. The target value for each analyte is the mean of the observed 16 replicates. Calibrator assigned values are lot dependent and are listed in the labeling. The mean and range are provided in tabular form in the value assignment sheets.
**Stability:**
Shelf-Life and Open Vial Stability claims were supported by the real time and accelerated stability protocols/testings and acceptance criteria that were described and found to be adequate.
Shelf-Life: ATAC Serum Calibrator Kit is stable for 24 months when stored unopened at $2 - 8^{\circ}\mathrm{C}$.
Open-Vial: The reconstituted vials are stable up to 7 days when stored at $2 - 8^{\circ}\mathrm{C}$.
**d. Detection limit:**
Not applicable.
**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
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4. Clinical cut-off: Not applicable
5. Expected values/Reference range: The expected values are provided in the labeling, as shown below.
| Albumin | 4.31 g/dL |
| --- | --- |
| Calcium | 10.03 mg/dL |
| Cholesterol | 183.9 mg/dL |
| Creatinine | 4.88 mg/dL |
| Direct Bilirubin | 2.15 mg/dL |
| Glucose | 173.9 mg/dL |
| Iron | 194.9 μg/dL |
| Magnesium | 2.49 mEq/L |
| Phosphorus | 5.85 mg/dL |
| Total Bilirubin | 4.56 mg/dL |
| Total Protein | 6.55 g/dL |
| Triglycerides | 206.8 mg/dL |
| Urea Nitrogen | 34.3 mg/dL |
| Uric Acid | 6.34 mg/dL |
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
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.
