Chemical Structure (Ind06 0002 01)
Indocyanine Green
Product Images NDC 66259-424
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Indocyanine Green (NDC 66259-424). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Novadaq Technologies 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.
Figure (Ind06 0002 02)
Cross-over indicating a manual gain change in densitometer system.*
Figure (Ind06 0002 03)
Figure 1 (Ind06 0002 04)
The text seems to be presenting a figure or graph showing the excitation and emission spectra of whole blood that contains a particular amount of sterile indocyanine green. The figure shows values ranging from 0 to 70 in some unit (presumably on the x and/or y axes). A more detailed description of the graph cannot be provided without access to it.*
Figure 2 (Ind06 0002 05)
This text describes an absorption spectrum and the spectrophotometric curve of normal serum containing some concentration (units not specified) of a substance. The figure referenced may provide additional visual information.*
Principal Display Panel (Ind06 0002 06)
This is a description of a medical product - "Indocyanine Green" for injection with the NDC code 66259-424-01. The instruction mentions that after reconstitution, the medication should be used within 6 hours, and it's marked as "for R only Sterile". The manufacturer is stated as Patheon Italia S.p.A. and Diagnostic Green GmbH, and it has a lot number of Cod. 222247. The product is distributed by Novadaq Technologies Inc. This information is useful for medical professionals or individuals taking this medication.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
