Products reviews
Tasco 49070800 Spacestation(r) 70az Refractor Telescope (600 x 70mm)$74.00 to $128.00
Tags:tasco, 49070800, spacestationr, 70az, refractor, telescope, 600, x, 70mm, | Bushnell Sky Tour 78-9930 Telescope$120.00 to $145.00
Tags:bushnell, sky, tour, 78-9930, telescope, | Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope$359.00 to $450.00
Tags:celestron, nexstar, 130slt, 31145, 306, x, 130mm, telescope, |
Celestron AstroMaster 76 EQ Telescope
If you're looking for a dual-purpose telescope appropriate for both terrestrial and celestial viewing, then the AstroMaster Series is for you. Each AstroMaster model is capable of giving correct views of land and sky.
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
Celestron Omni XLT 127 (300 x 127mm) Telescope
Omni XLT series features the stable platform of the CG-4 mount and high quality optics. Using aspheric shaping technology in conjunction with hand-figuring the optics the Omni XLT presents an image with virtually no spherical abberation. We also added our famous StarBright XLT coating system to further enhance light transmission.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