Products reviews
Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope$359.00 to $450.00
Tags:celestron, nexstar, 130slt, 31145, 306, x, 130mm, telescope, | Celestron CPC 925 XLT (555 x 235mm) Telescope$2,499.00
Tags:celestron, cpc, 925, xlt, 555, x, 235mm, telescope, | Celestron NexStar 80 SLT 22086 (100 x 80mm) Telescope$200.00 to $380.00
Tags:celestron, nexstar, 80, slt, 22086, 100, x, 80mm, telescope, |
Celestron CPC 925 XLT (555 x 235mm) Telescope

Celestron Professional Computerized (CPC) Series with revolutionary SkyAlign Alignment Technology redefines everything that amateur astronomers are looking for quick and simple alignment, GPS, unsurpassed optical quality, ease of set-up and use
Celestron AstroMaster 114EQ (100 x 114mm) Telescope

The AstroMaster Series produce bright, clear images of the Moon and planets. It is easy to see the moons of Jupiter and the rings of Saturn with every one of these fine instruments. For views of the brighter deep space objects like galaxies and nebulae, we recommend the larger aperture and light gathering ability of the Newtonian reflectors.Minimize
Celestron PS 60 (175 x 60mm) 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
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