Products reviews
Bushnell NorthStar 78-8845 (675 x 114mm) Telescope$325.00 to $440.00
Tags:bushnell, northstar, 78-8845, 675, 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, | Galileo FS-80 Telescope$65.00 to $80.00
Tags:galileo, fs-80, 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
Meade Polaris 50 AZ-P Telescope

50AZ-P 2.0"/50mm Refractor Telescope Kit, 625mm f/12.5 Achromatic Refractor, Manual Altazimuth Mount
Celestron NexStar 4 SE (240 x 102mm) Telescope

Featuring high-quality Maksutov-Cassegrain optics, the NexStar 4SE is an ideal telescope for observing and photographing the wonders of space. With a total weight of 21 lbs including the tripod, the ultra portable 4 SE features a precision optical system with 1,325 mm focal length (f/13) and is the first Maksutov system to ever feature our premium StarBright XLT coatings.Minimize
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