Products reviews
Celestron PowerSeeker 80 EQ (225 x 80mm) Telescope$107.00 to $160.00
Tags:celestron, powerseeker, 80, eq, 225, x, 80mm, telescope, | Celestron AstroMaster 90EQ (100 x 90mm) Telescope$150.00 to $300.00
Tags:celestron, astromaster, 90eq, 100, x, 90mm, telescope, | Celestron PS 60 (175 x 60mm) Telescope$39.00 to $63.00
Tags:celestron, ps, 60, 175, x, 60mm, telescope, |
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 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 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


