Neauvia Organic Intense Flux (1x1ml) (1x1ml )

• VOLUMIZATION.
• NEAUVIA ORGANIC INTENSE FLUX is an organic filler with low viscoelasticity and high biointegration.
• NEAUVIA ORGANIC INTENSE FLUX is intended for deep tissue restoration of volume in moderate and strongly aged skin.
• Suitable for injection into the intradermal layer.
• NEAUVIA ORGANIC INTENSE FLUX is characterized by the highest amount of hyaluronic acid 26 mg/ml and high viscoelasticity of the hydrogel to guarantee 100% satisfaction for the patient.
• Like all Neauvia fillers it is made using the purest hyaluronic acid available and cross-linked with PEG polymer to obtain an IPN technology.
• In addition to hyaluronic acid it contains amino acids – Glycine and L-Proline – that are main ingredients of collagen.
• Contains the highest available concentration of hyaluronic acid.
• NEAUVIA ORGANIC INTENSE FLUX gives a lifting effect and is highly adaptive to the tissue, which helps to achieve desired results.
• Suitable especially to deep filling of skin depression (including deep wrinkles and nasolabial folds), cheeks, chin and nose modeling and face contouring, in moderate and strongly aged skin.

COMPOSITION NEAUVIA ORGANIC INTENSE FLUX

• 26 mg/ml HA, cross-linked with PEG.
• Glycine and L-Proline.
• NO BDDE.

INDICATION

• Volumization.
• NEAUVIA ORGANIC INTENSE FLUX is intended for deep tissue restoration of volume in moderate and strongly aged skin.

SYRINGE

1 x 1 ml

BENEFITS

• HIGH CONCENTRATION OF HA AND HIGH VISCOELASTICITY
• IT GIVES FANTASTIC VOLUMETRIC RESULTS SHAPING THE INJECTED AREA IN THE NATURAL WAY. MULTI TASK FILLER: POSSIBILITY OF USE IN DIFFERENT ANATOMICAL AREAS.
• THANKS TO THE BALANCED CROSSLINKING DEGREE IT IS HIGHLY ADAPTIVE TO THE TISSUE WHICH HELPS TO VOLUMIZE THE ANATOMIC AREA.

TREATMENT AREAS

• The balanced crosslinking degree the Intense Flux is highly adaptive to the tissue which helps to volumize the anatomic area.
• Naso-labial folds filling.
• Lips augmentation.
• Face contours lifting.
• Chin modeling.
• Cheek modeling.