Products reviews
Celestron NexStar 8 SE (480 x 203mm) Telescope$1,199.00 to $1,200.00
Tags:celestron, nexstar, 8, se, 480, x, 203mm, telescope, | Meade A 114EQ-ASTR Telescope$129.00 to $177.00
Tags:meade, a, 114eq-astr, telescope, | Celestron PowerSeeker 127 EQ 21049 (750 x 127mm) Telescope$120.00 to $160.00
Tags:celestron, powerseeker, 127, eq, 21049, 750, x, 127mm, telescope, |
Celestron PowerSeeker 127 EQ 21049 (750 x 127mm) Telescope

The PowerSeekers come in a choice of refractor or reflector, equatorial or altazimuth mount design. The PowerSeekers come with all coated glass optical components with for enhanced image brightness and clarity. The Newtonian reflectors offer larger aperture and greater light gathering power needed to resolve the faint detail of hundreds of deep-sky and other celestial objects.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 PowerSeeker 80 EQ (225 x 80mm) Telescope

The Celestron PowerSeeker series of telescopes is designed to give the first-time buyer the perfect combination of quality, value, features and power. Offering exceptional value, these telescopes feature portable yet powerful designs with ample optical performance to excite any newcomer to the world of amateur astronomy.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