Product Images Indocyanine Green

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Indocyanine Green NDC 66259-424 by Novadaq Technologies Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Chemical Structure - ind06 0002 01

Chemical Structure - ind06 0002 01

Figure - ind06 0002 02

Figure - ind06 0002 02

Cross-over indicating a manual gain change in densitometer system.*

Figure - ind06 0002 03

Figure - ind06 0002 03

Figure 1 - ind06 0002 04

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

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

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.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.