Products reviews
Carson Optical SkyWatcher™ JC-1000 (100 x 60mm) Telescope$47.00 to $108.00
Tags:carson, optical, skywatcher, jc-1000, 100, x, 60mm, telescope, | Celestron NexStar 60 SLT (120 x 60mm) Telescope$129.00 to $280.00
Tags:celestron, nexstar, 60, slt, 120, x, 60mm, telescope, | Celestron PowerSeeker 80 EQ (225 x 80mm) Telescope$107.00 to $160.00
Tags:celestron, powerseeker, 80, eq, 225, x, 80mm, telescope, |
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 102 SLT (200 x 102mm) Telescope
The popularity of our previous short tube refractor models inspired us to go a step further with the introduction of our NexStar 102 SLT. You'll find that astronomical viewing is a delight with this large, powerful 4 telescope.
Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope
Computerized hand control with 4,000-object database SkyAlign allows you to align on any 3 bright celestial objects Motorized Altazimuth mount Focal ratio: f5 Focal length: 650mm
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