Gaetano Sciolari Murano Glass Table Lamp, Italy, 1970s
Sculptural Italian Lighting by Gaetano Sciolari A striking table lamp by Gaetano Sciolari, dating from the 1970s. The design features a substantial hand-blown Murano glass base in soft translucent blue and white tones, creating beautiful variations in colour and depth as light passes through the glass. Its generous proportions and sculptural silhouette make it a distinctive example of Italian mid-century lighting. Murano Glass and Chrome The rounded Murano glass body is complemented by Sciolari's characteristic use of polished chrome, with a sculptural stepped metal fitting connecting the glass base to the shade. The combination of reflective chrome and softly coloured glass gives the lamp the glamorous character associated with Gaetano Sciolari's lighting designs of the period. Original Period Shade The lamp is presented with its large period cylindrical shade, detailed with reflective metallic bands around the upper and lower edges. The generous proportions of the shade balance the substantial glass base beautifully, giving the lamp an impressive decorative presence whether illuminated or displayed as a sculptural object. Details & Dimensions Designer: Attributed to Gaetano Sciolari Manufacturer: Sciolari Place of Origin: Italy Date of Manufacture: 1970s In Style: Mid-Century Modern Materials & Techniques: Hand-blown Murano glass, chrome-plated metal, fabric and metallic shade Condition: Good condition, wear consistent with age and use Height: 69 cm Shade Diameter: 34 cm Lamp Base Diameter: 29 cm International shipping is available on all items. Please contact us for a shipping quote. The Lumini Collections online store is constantly updated with new arrivals, just like our showroom in Byron Bay. If you're looking to buy unique design pieces in Australia, get in contact with us at showroom@luminicollections.com for more photos or additional information.
Variants (1)
- Default Title — 2007.00 USD — In stock
How AI sees this product
The more complete this product's details, the more confidently AI assistants can understand and recommend it.