Products reviews
Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope$359.00 to $450.00
Tags:celestron, nexstar, 130slt, 31145, 306, x, 130mm, telescope, | Meade NG-70 (140 x 70mm) Telescope$62.00 to $100.00
Tags:meade, ng-70, 140, x, 70mm, telescope, | Celestron PowerSeeker 70 EQ 21037 (35 x 70mm) Telescope$100.00 to $119.00
Tags:celestron, powerseeker, 70, eq, 21037, 35, x, 70mm, telescope, |
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 LXD75 SN-8 AT (08047502) (500 x 203mm) Telescope

Meade LXD75 SN8-AT UHTC is an 8 inch Schmidt-Newtonian reflector type telescope with 812mm focal length and fast f/4 aperture and Meade Ultra High Transmission Coating, for 20% more image brightness over its non-UHTC sister model.
Celestron NexStar 8 SE (480 x 203mm) Telescope

The distinctive patented fork arm with ergonomically designed integrated hand control cradle gives solid support to Celestron’s classic 8" optics. The NexStar 8 SE features Schmidt-Cassegrain 8" aperture optics with our premium StarBright XLT coatings and a powerful 2,032mm focal length and f/10 focal ratio.
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