Structure (Image 01)
Indocyanine Green Kit
Product Images NDC 73624-424
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Indocyanine Green (NDC 73624-424). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Olympus America, 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.
Principal Display Panel (Carton Label)
This text provides information about the medical product called "Indocyanine Green for Injection, USP". It is meant for intravenous administration with a recommended dosage of 25mg/Vl Ki_RxOnly-tk.*
Principal Display Panel (Vial Label)
This is a product description for Indocyanine Green for Injection, USP, which is a diagnostic injection for intravenous administration. It must be used within 6 hours after reconstitution, and it is distributed as a sterile prescription-only product. The NDC code for this product is 70100-424-01. However, the name of the distributor is not available as the text is incomplete.*
Principal Display Panel (Sterile Water)
This is a description of a single-dose container of Sterile Water for Injection, USP, intended for use as a drug diluent. The container has a volume of 10 mL and is only available with a prescription. The National Drug Code (NDC) for the container is 0409-4887-17. The solution does not contain any added antimicrobial or other substances, and is non-pyrogenic. The solution is intended for intravenous use, but may need to be rendered nearly isotonic before administration. The container was distributed by RL-7603, a subsidiary of Hospira, Inc., located in Lake Forest, IL. The lot number and expiration date are also provided on the container.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
