Products reviews
Celestron NexStar 114 SLT 31143 (270 x 144mm) Telescope$220.00 to $399.00
Tags:celestron, nexstar, 114, slt, 31143, 270, x, 144mm, telescope, | Celestron AstroMaster 114 AZ (50 x 114mm) Telescope$120.00 to $250.00
Tags:celestron, astromaster, 114, az, 50, x, 114mm, telescope, | Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope$359.00 to $450.00
Tags:celestron, nexstar, 130slt, 31145, 306, x, 130mm, telescope, |
Meade Polaris 50 AZ-P Telescope

50AZ-P 2.0"/50mm Refractor Telescope Kit, 625mm f/12.5 Achromatic Refractor, Manual Altazimuth Mount
Bushnell NorthStar 78-8846 (675 x 114mm) Telescope

Real Voice Output version of premier Northstar 675x4.5". With the tough of a button this talking telescope describes the wonders of the night sky in a real human voice - an interactive and educational way to explore the universe. "Goto" Computerized tracking technology. Red Dot LED finderscope. Remote hand-held control module. Camera adaptable. Quick release tripod. Kinematic mount. Accessory tray. 20,000 Object Onboard Starfinding Computer. 1.25" Format Eyepieces. Barlow Lens. A great starting telescope!Minimize
Celestron NexStar 60 SLT (120 x 60mm) Telescope

Our most affordable NexStar telescope turns starry nights into space odysseys. The 60mm refractors come with a fully computerized hand control with a database of over 4,000 celestial objects. With its pre-assembled, adjustable steel tripod, the NexStar 60 SLT can be up and ready to use in a matter of minutes
Meade DS-2080ATS Telescope

Meade Digital Series telescopes bring microprocessor technology and the very latest in electromechanical design to the serious beginning or intermediate observer. Completely re-engineered and redesigned, Meade DS-2080AT telescopes provide extremely smooth motions in both altitude and azimuth, and, most importantly, include a fully integrated Autostar control system as standard equipment. Oversize bearings on both telescope axes of all models negate the imprecisions found universally, virtually without exception, on competing models.Minimize