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, | 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 6 SE (354 x 55.88mm) Telescope$790.00 to $1,100.00
Tags:celestron, nexstar, 6, se, 354, x, 55.88mm, telescope, |
Meade ETX-80AT-TC (270 x 80mm) Telescope

All of the major planets except Pluto are easily observable through Meade's brand-new 80mm (3.1) achromatic refractor telescope. You can study Saturn and its ring system; the primary cloud belts of Jupiter and its 4 major satellites; the Moonlike phases of Mercury and Venus; and much more.
Meade LXD75AR-6 Telescope

Diffraction-Limited Optics Meades Schmidt-Newtonian and Schmidt-Cassegrain optics yield pinpoint stellar images over an extremely wide field-of-view with only half the coma of standard Newtonians of the same focal ratio.
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
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