Products reviews
Meade Polaris 50 AZ-P Telescope$39.00 to $70.00
Tags:meade, polaris, 50, az-p, telescope, | Meade NG-60 (20200) (233 x 60mm) Telescope$50.00 to $79.00
Tags:meade, ng-60, 20200, 233, x, 60mm, telescope, | Celestron AstroMaster 70EQ (90 x 70mm) Telescope$115.00 to $170.00
Tags:celestron, astromaster, 70eq, 90, x, 70mm, 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 PowerSeeker 70 EQ 21037 (35 x 70mm) Telescope

Celestron’s PowerSeekers include a full range of eyepieces plus a 3x Barlow lens that provides an increase in viewing power hundreds of times greater than that of the unaided eye!
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


