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.

Let the assistant find your predicates

Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.

Free to try · every answer cites its records

Product Code: LEF FDA class 1

Stains, Dye Powder

Hematology

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Dye powder stains are hematology and histology laboratory reagents in dry powder form that are dissolved before use to prepare staining solutions for differentiating cell types and tissue components under the microscope. They are classified as FDA Class 1, the lowest risk tier, and are exempt from Good Manufacturing Practice (GMP) requirements. The product code is LEF, regulated under 21 CFR 864.1850, in the Hematology specialty. No premarket notification is required.

510(k) Clearances

1 matches
K Number
Device Name
SILVER STAIN REAGENT SYSTEM

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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