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, | Celestron NexStar 130SLT (31145) (306 x 130mm) Telescope$359.00 to $450.00
Tags:celestron, nexstar, 130slt, 31145, 306, x, 130mm, telescope, | Celestron AstroMaster 90AZ (50 x 90mm) Telescope$199.00 to $270.00
Tags:celestron, astromaster, 90az, 50, x, 90mm, telescope, |
Galileo FS-80 Telescope

The Galileo FS-80 reflector telescope is a great beginner's reflecting telescope. The large 80mm primary mirror cell collects 33% more light than a 60mm refracting telescope. 1.25 focus housing permits the use of larger higher quality 1.25 eyepieces. Yoke mount makes the telescope easy to manage through altitude / azimuth (Up & Down, Left & Right) movement, and altitude slow motion control rod for precision adjustmentsMinimize
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
Tasco 49070800 Spacestation(r) 70az Refractor Telescope (600 x 70mm)

With its 70mm lens and all the bells and whistles, the Tasco Spacestation 70AZ is ideal for both the beginner and amateur astronomer.
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