Product Images Xenoview

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Xenoview NDC 80534-1000 by Polarean, 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.

Dose Delivery Bag - xenoview 1

Dose Delivery Bag - xenoview 1

XENOVIEW is a hyperpolarized oral inhalation drug. The text provides recommendations for administering the drug to patients, including the maximum volume of the drug that can be used, the time frame for administering the drug, and storage requirements. The text also includes contact information for the manufacturer.*

Dose Delivery Bag Carton - xenoview 2

Dose Delivery Bag Carton - xenoview 2

This appears to be a description for dose delivery bags for individual use with the Polarean HPX System. The recommended dosage information is not visible in the text. The bags appear to be designed for use with Xenon gas, specifically for oral inhalation, potentially for medical imaging purposes. There is contact information for Polarean provided.*

Gas Cylinder Label - xenoview 3

Gas Cylinder Label - xenoview 3

This is a description of a XenonXe129 Gas Blend designed for hyperpolarization. It consists of a mix of Xenon (1%), Nitrogen (10%), and Helium (89%) gases, and is intended to be used with the Polarean HPX system. This is used for the preparation of "XENOVIEW". The text warns that the gas blend is not for direct administration as it is a high-pressure gas that can lead to suffocation without warning. Proper equipment should be used for storage and ventilation, and all appropriate SDSs should be followed during the usage. The volume of the blend is given as 6,350 liters, with a net weight of 2,013g. The facility authorized by Polarean, Inc. is the only location for the refill of the blend.*

* 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.