Products reviews
Celestron NexStar 60 SLT (120 x 60mm) Telescope$129.00 to $280.00
Tags:celestron, nexstar, 60, slt, 120, x, 60mm, telescope, | Meade LightBridge 10 in. Deluxe (600 x 254mm) Telescope$599.00 to $600.00
Tags:meade, lightbridge, 10, in., deluxe, 600, x, 254mm, telescope, | Celestron NexStar 6 SE (354 x 55.88mm) Telescope$790.00 to $1,100.00
Tags:celestron, nexstar, 6, se, 354, x, 55.88mm, telescope, |
Celestron CPC 1100 GPS (XLT) (70 x 280mm) Telescope

The largest aperture of the CPC GPS line, The CPC 1100 GPS Schmidt-Cassegrain telescope has the most light gathering power and has a limiting magnitude of nearly 15. The CPC 1100 GPS takes full advantage of its vast database of thousands of NGC and Abell galaxies as well as delivering a new level of detail to all your favorite deep sky objects. This CPC 1100 GPS features Celestron's premium StarBright XLT coatings.Minimize
Celestron PowerSeeker 114 EQ Telescope

Powerseeker 114 EQ 4.5''/900mm f/8 Newtonian Reflector Telescope with German-Type Equatorial Mount & Tripod
Celestron NexStar 5 SE (300 x 44.45mm) Telescope

Featuring high-quality Schmidt-Cassegrain optics, the NexStar 5 SE is an ideal telescope for observing and photographing the wonders of space. With a total weight of 28 lbs including the tripod, the ultra portable 5 SE features a precision optical system with 1,250 mm focal length (f/10) standard with our premium StarBright XLT coatings and offers 56% more light gathering power than a 4" model.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