Products reviews
Meade NG-70 (140 x 70mm) Telescope$62.00 to $100.00
Tags:meade, ng-70, 140, x, 70mm, telescope, | Celestron Omni XLT 127 (300 x 127mm) Telescope$573.00 to $629.00
Tags:celestron, omni, xlt, 127, 300, x, 127mm, telescope, | Tasco 49060700 (60 x 700mm) Telescope$54.00 to $90.00
Tags:tasco, 49060700, 60, x, 700mm, telescope, |
Educational Insights 5273 (80 x 50mm) Telescope

With the GeoVision microscope and telescope set, you can view everything from a microbe to the moon! The portable 360mm telescope features lightweight metal tube construction and a 50mm achromatic objective lens. The all-glass optics and rack-and-pinion focusing deliver clear, up-close images at magnifications from 20x to 80x. Easy-to-use refractor design and table-top tripod make it perfect for on-the-go discovery. The microscope features durable die-cast metal construction for years of micro-exploring fun.Minimize
Celestron NexStar 60 SLT (120 x 60mm) Telescope

Our most affordable NexStar telescope turns starry nights into space odysseys. The 60mm refractors come with a fully computerized hand control with a database of over 4,000 celestial objects. With its pre-assembled, adjustable steel tripod, the NexStar 60 SLT can be up and ready to use in a matter of minutes
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.
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