Apostrophe Screen Spf43
Product Images NDC 81780-007

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Apostrophe Screen Spf43 (NDC 81780-007). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

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

FDA Label Image

Aposthrophe Tube (Aposthrophe Tube)

Aposthrophe Tube (Aposthrophe Tube)
This text seems to be a description of a skincare product with SPF 43, made for acne-prone and sensitive skin, with a hydrating formula, fragrance-free and designed for derm-approved protection. It contains 3 active ingredients, including Zinc Oxide, Octinoxate, and Octisalate, and is recommended to be applied liberally to face and neck 15 minutes before sun exposure, and reapplied every 2 hours. It has a maximum print and art area for the panel and is available in FLOZ/88.7 mL.*
FDA Label Image

Apostrophe Uc (Apostrophe Uc)

Apostrophe Uc (Apostrophe Uc)
This is a description of a sunscreen product manufactured by Apostrophe. The product is a water-resistant, fragrance-free, and dermatologist-recommended sunscreen with a broad-spectrum SPF of 43. It contains inactive ingredients such as purified water and active ingredients such as zinc oxide. The sunscreen helps in preventing sunburn and decreases the risk of skin cancer and skin aging caused by the sun if used as directed with other sun protection measures. The product's directions include applying the sunscreen 15 minutes before sun exposure, reapplying at least every 2 hours, and keeping it out of the reach of children. The packaging includes 3 FL OZ/88.7 ML of product.*

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