Isosulfan Blue Injection, Solution
Product Images NDC 72205-195

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Isosulfan Blue (NDC 72205-195). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Novadoz Pharmaceuticals Llc, 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

Isosulfan-inj-crtn-label (Isosulfan Inj Crtn Label)

Isosulfan-inj-crtn-label (Isosulfan Inj Crtn Label)
This text provides information about Isosulfan Blue Injection 1%, which is used for lymphography and subcutaneous use only. The single-dose vial contains 50 mg/5 mL (10 mg/mL) of the medication. It is sterile, non-pyrogenic, and comes in a container without preservatives. The usual dosage and storage instructions are provided. The medication is manufactured by MSN Laboratories Private Limited in India and distributed by Novadoz Pharmaceuticals LLC in Piscataway, New Jersey. It is important to consult the accompanying prescribing information before administering the drug.*
FDA Label Image

Isosulfan-inj-structure (Isosulfan Inj Structure)

FDA Label Image

Isosulfan-inj-vial-label (Isosulfan Inj Vial Label)

Isosulfan-inj-vial-label (Isosulfan Inj Vial Label)
This text provides information about a sterile, non-pyrogenic, single-dose vial containing Isosulfan Blue for subcutaneous use. It states that the container does not contain preservatives and is not for multiple-use. Each mL contains 10 mg of Isosulfan Blue. The usual dosage information is available in the prescribing information. The product is manufactured by MSN Laboratories Private Limited and distributed by Novadoz Pharmaceuticals.*

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