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.

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

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Product Code: PFU FDA not classified

Tissue Processing Kit

Unknown

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The Tissue Processing Kit is a device intended for the preparation of human tissue specimens for frozen sectioning and histological examination. It is classified as "Not Classified" (Class N) by the FDA, meaning it has not been assigned to a formal classification category and may be subject to ongoing regulatory determination. The product code is PFU, reviewed by the Pathology (PA) panel, with no regulation number or medical specialty formally assigned. This device is not flagged as an implant or life-sustaining device.

No 510(k) clearances found for "PFU". Try a different K-number, product code, or device name.

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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