Blink Gel Tears Solution/ Drops
Product Images NDC 29943-004

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Blink Gel Tears (NDC 29943-004). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bausch & Lomb Incorporated, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image
Blink 01
Blink GelTears Lubricating Eye Drops is a solution that helps to restore natural tear balance every time you blink. It is recommended for individuals experiencing dry, gritty, or watery eyes, which are typical symptoms of dry eyes. Blink GelTears have advantages over other eye drops as they have an extra lubricating formula that provides long-lasting relief from persistent dry eye symptoms, such as burning, irritation, and discomfort. The solution is suitable for temporary relief for external eye irritants such as wind and sun. The ingredients include Sodium Chlorite, Sodium Chloride, and Poetyers Gl 400 025; this lubricating eye drop is also extra moisturizing and safe for both day and nighttime use.*
FDA Label Image
Blink 02
This is a medication that provides temporary relief for dry eyes, itchiness, and discomfort caused by exposure to the wind or sun. It can be used as a protectant against further irritation. This medication should not be used if the solution becomes cloudy or changes color. It is recommended to seek medical attention if there is pain, changes in vision or persistent redness or irritation. The directions to use include placing one or two drops into the affected eye as needed. The inactive ingredients include boric acid and purified water. This medication is made in China and distributed by Surgical Vision Inc in California.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.