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: KFC FDA class 1

Methylene Blue, Tissue Stain

Hematology

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Methylene Blue Tissue Stain is a synthetic thiazine dye used as a histological and cytological stain to differentiate cell nuclei, bacteria, and other tissue structures under the microscope, aiding in pathological diagnosis and examination of biological specimens. It is classified as FDA Class 1, the lowest risk category, subject to general controls only, meaning it does not require premarket notification or approval. The product code is KFC, regulated under 21 CFR 864.1850, within the Hematology medical specialty. This device is exempt from Good Manufacturing Practice (GMP) regulations.

510(k) Clearances

7 matches
K Number
Device Name
RETICULOCYTE STAIN
SPOTTEST LOEFFLER METHYLENE BLUE STAIN
METHYLENE BLUE STAIN, LOEFFLER
STAIN, METHYLENE BLUE-EOSIN
NEW METHYLENE BLUE N
NEPHROLYTE
TUBE, STAIN, RETICULOCYTE, LARC

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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