Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

Product Code: LNJ FDA class 2

Analyzer, Chromosome, Automated

Hematology

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Analyzer, Chromosome, Automated is an automated image analysis system used in cytogenetics laboratories to capture, classify, and analyze chromosomal spreads (karyotypes) obtained from cultured cells, facilitating the detection of chromosomal abnormalities associated with genetic disorders, cancers, and prenatal conditions. It is classified as FDA Class 2, indicating moderate risk, and requires 510(k) premarket clearance. The product code is LNJ, regulated under 21 CFR 864.5260, within the Hematology medical specialty. No special flags apply to this device.

510(k) Clearances

11 matches
K Number
Device Name
FISHVIEW
BANDVIEW SYSTEM
IKAROS
ACLAIMS-IS
GENEVISION - COMPUTER ASSISTED CHROMOSOME KARYO.
AKS II
KARYOTEC 100
CYTOSCAN
PERCEPTIVE SYSTEMS INC PSICOM 217 KARYOTYPING SYST
NIKON/JOYCE LOCK MAGICAN 2 CHROMOSOME SYS
METACHROME

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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